Triple

T35729552
Position Surface form Disambiguated ID Type / Status
Subject House of Comminges E1032714 entity
Predicate notableMember P10 FINISHED
Object Cécile of Comminges
Cécile of Comminges was a medieval noblewoman from the French Pyrenean region, best known as a prominent member of the House of Comminges and for her role in regional dynastic alliances.
E2186665 NE 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: Cécile of Comminges | Statement: [House of Comminges, notableMember, Cécile of Comminges]
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: Cécile of Comminges
Triple: [House of Comminges, notableMember, Cécile of Comminges]
Generated description
Cécile of Comminges was a medieval noblewoman from the French Pyrenean region, best known as a prominent member of the House of Comminges and for her role in regional dynastic alliances.

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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a13384bc8190b721f871f8602496 completed May 3, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbb359fc8190a88dbd1cf0cc0bd7 completed June 23, 2026, 1:04 a.m.
NEDg Description generation batch_6a39dc6faffc8190bc65e812b89dffda completed June 23, 2026, 1:07 a.m.
NED2 Entity disambiguation (via description) batch_6a39dd3627f48190a70cd2c7a8497aa9 completed June 23, 2026, 1:11 a.m.
Created at: May 3, 2026, 4:05 p.m.