Triple
T16038572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha of Savoy |
E389029
|
entity |
| Predicate | chronologicallySucceededBy |
P121704
|
FINISHED |
| Object |
Eupraxia of Kiev (as Queen of Germany)
Eupraxia of Kiev was a Kievan Rus' princess who became Queen of Germany and Holy Roman Empress through her marriage to Emperor Henry IV.
|
E1191026
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eupraxia of Kiev (as Queen of Germany) | Statement: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eupraxia of Kiev (as Queen of Germany) Context triple: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
-
A.
Maria Eufrosyne of Zweibrücken
Maria Eufrosyne of Zweibrücken was a 17th-century German-born Swedish noblewoman and princess, known for her influential role at the Swedish court through her marriage to statesman Magnus Gabriel De la Gardie and her close ties to the royal Vasa line.
-
B.
Helena of Waldeck and Pyrmont
Helena of Waldeck and Pyrmont was a German princess of the House of Waldeck and Pyrmont who became Duchess of Albany through her marriage to Prince Leopold, youngest son of Queen Victoria of the United Kingdom.
-
C.
Euphemia of Rügen
Euphemia of Rügen was a German noblewoman who became Queen consort of Norway through her marriage to King Haakon V in the early 14th century.
-
D.
Princess Viktoria Luise of Prussia
Princess Viktoria Luise of Prussia was the only daughter of German Emperor Wilhelm II and Empress Augusta Victoria, known as the last princess of the German imperial family and a prominent royal figure in early 20th-century Europe.
-
E.
Augusta of Saxe-Weimar-Eisenach
Augusta of Saxe-Weimar-Eisenach was a 19th-century German empress and queen consort of Prussia, known for her cultural patronage and marriage to Emperor Wilhelm I.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eupraxia of Kiev (as Queen of Germany) Triple: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
Generated description
Eupraxia of Kiev was a Kievan Rus' princess who became Queen of Germany and Holy Roman Empress through her marriage to Emperor Henry IV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eupraxia of Kiev (as Queen of Germany) Target entity description: Eupraxia of Kiev was a Kievan Rus' princess who became Queen of Germany and Holy Roman Empress through her marriage to Emperor Henry IV.
-
A.
Maria Eufrosyne of Zweibrücken
Maria Eufrosyne of Zweibrücken was a 17th-century German-born Swedish noblewoman and princess, known for her influential role at the Swedish court through her marriage to statesman Magnus Gabriel De la Gardie and her close ties to the royal Vasa line.
-
B.
Helena of Waldeck and Pyrmont
Helena of Waldeck and Pyrmont was a German princess of the House of Waldeck and Pyrmont who became Duchess of Albany through her marriage to Prince Leopold, youngest son of Queen Victoria of the United Kingdom.
-
C.
Euphemia of Rügen
Euphemia of Rügen was a German noblewoman who became Queen consort of Norway through her marriage to King Haakon V in the early 14th century.
-
D.
Princess Viktoria Luise of Prussia
Princess Viktoria Luise of Prussia was the only daughter of German Emperor Wilhelm II and Empress Augusta Victoria, known as the last princess of the German imperial family and a prominent royal figure in early 20th-century Europe.
-
E.
Augusta of Saxe-Weimar-Eisenach
Augusta of Saxe-Weimar-Eisenach was a 19th-century German empress and queen consort of Prussia, known for her cultural patronage and marriage to Emperor Wilhelm I.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicallySucceededBy Context triple: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
-
A.
present-daySuccessor
Indicates that one entity is the current-day successor or continuation of another entity (e.g., an institution, organization, or administrative unit).
-
B.
introducedAsSuccessorOf
Indicates that one entity was formally presented or designated to take over the role, position, or function previously held by another entity.
-
C.
successorInNorthernLands
Indicates that one entity becomes the next holder of a role, title, or position specifically within the context of the Northern Lands.
-
D.
successorFoundedBy
Indicates that an entity was founded by the successor of another specified entity.
-
E.
successorDeterminedBy
Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd527cfc8190a616a2334edffd02 |
completed | May 10, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdda1a0908190b7c880c5d66f7400 |
completed | May 10, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.