Triple
T24748961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl |
E619083
|
entity |
| Predicate | relativeTypeToMariaTheresa |
P158720
|
FINISHED |
| Object | younger brother |
—
|
LITERAL FINISHED |
How this triple was built (2 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: younger brother | Statement: [Karl, relativeTypeToMariaTheresa, younger brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeTypeToMariaTheresa Context triple: [Karl, relativeTypeToMariaTheresa, younger brother]
-
A.
relationshipTypeWith Queen Anne of Austria
Indicates the specific nature or category of relational connection an entity has with Queen Anne of Austria (e.g., familial, political, or social relationship).
-
B.
relationshipToJohnOfAustria
Indicates the specific familial or social relationship that an entity has to John of Austria.
-
C.
successorAsHolyRomanEmpress
Indicates that one person assumed the role of Holy Roman Empress directly after another, succeeding her in that position.
-
D.
typeOfMarriageWithFerdinandI
Indicates the specific kind of marital relationship an entity has with Ferdinand I (e.g., legal status or form of marriage).
-
E.
reignAsQueenConsortOfBohemiaEnd
Indicates the time or event at which an individual’s tenure as queen consort of Bohemia comes to an end.
- F. None of above. chosen
Provenance (4 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 4:24 a.m.