Triple
T11013880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fastrada |
E260311
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Hiltrud
Hiltrud was a Frankish noblewoman of the early Middle Ages, known primarily as a member of the royal family connected to Charlemagne’s circle.
|
E909769
|
NE FINISHED |
How this triple was built (4 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: Hiltrud | Statement: [Fastrada, relative, Hiltrud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiltrud Context triple: [Fastrada, relative, Hiltrud]
-
A.
Ermentrud
Ermentrud is a given name, typically a historical or medieval European female name, that serves as a variant form of Ermintrude.
-
B.
Goswintha
Goswintha was a Visigothic queen consort, known as the influential and often controversial wife of King Leovigild in 6th-century Hispania.
-
C.
Ottla
Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
-
D.
Luitgard
Luitgard was the fourth and last wife of Charlemagne, serving briefly as Frankish queen consort in the late 8th century.
-
E.
Sulamith
Sulamith is a haunting 1983 painting by German artist Anselm Kiefer that reflects on memory, loss, and the legacy of World War II through a monumental, charred interior space.
- 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: Hiltrud Triple: [Fastrada, relative, Hiltrud]
Generated description
Hiltrud was a Frankish noblewoman of the early Middle Ages, known primarily as a member of the royal family connected to Charlemagne’s circle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiltrud Target entity description: Hiltrud was a Frankish noblewoman of the early Middle Ages, known primarily as a member of the royal family connected to Charlemagne’s circle.
-
A.
Ermentrud
Ermentrud is a given name, typically a historical or medieval European female name, that serves as a variant form of Ermintrude.
-
B.
Goswintha
Goswintha was a Visigothic queen consort, known as the influential and often controversial wife of King Leovigild in 6th-century Hispania.
-
C.
Ottla
Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
-
D.
Luitgard
Luitgard was the fourth and last wife of Charlemagne, serving briefly as Frankish queen consort in the late 8th century.
-
E.
Sulamith
Sulamith is a haunting 1983 painting by German artist Anselm Kiefer that reflects on memory, loss, and the legacy of World War II through a monumental, charred interior space.
- F. None of above. chosen
Provenance (5 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978b1e888190b297f107f6021b59 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4831ba3688190bee08ca29872ab3b |
completed | April 19, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69e48715bd2081908774d325db2b6dd5 |
completed | April 19, 2026, 7:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4886c0da881909105b3a45e786ce9 |
completed | April 19, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:25 p.m.