Triple

T36383091
Position Surface form Disambiguated ID Type / Status
Subject François Couturier E896103 entity
Predicate associatedAct P37 FINISHED
Object Didier Levallet
Didier Levallet is a French jazz double bassist, composer, and bandleader known for his work in European avant-garde and contemporary jazz.
E2295466 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: Didier Levallet | Statement: [François Couturier, associatedAct, Didier Levallet]
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: Didier Levallet
Triple: [François Couturier, associatedAct, Didier Levallet]
Generated description
Didier Levallet is a French jazz double bassist, composer, and bandleader known for his work in European avant-garde and contemporary jazz.

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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb1d6b70819091227bd011734d19 completed May 3, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d5a2ae0748190b81568a643c6cb12 completed Aug. 13, 2026, 5:46 a.m.
NEDg Description generation batch_6a7d5a8811288190ac8ad30cb850fe06 completed Aug. 13, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_6a7d5ad6346881908a355a426edd628a completed Aug. 13, 2026, 5:49 a.m.
Created at: May 3, 2026, 4:10 p.m.