Triple

T23773526
Position Surface form Disambiguated ID Type / Status
Subject Taï Phong E587606 entity
Predicate notableMember P10 FINISHED
Object Stéphane Caussarieu
Stéphane Caussarieu is a French musician best known as the drummer for the progressive rock band Taï Phong.
E2287874 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: Stéphane Caussarieu | Statement: [Taï Phong, notableMember, Stéphane Caussarieu]
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: Stéphane Caussarieu
Triple: [Taï Phong, notableMember, Stéphane Caussarieu]
Generated description
Stéphane Caussarieu is a French musician best known as the drummer for the progressive rock band Taï Phong.

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_69e2490d245881909028226a1393d624 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1c468fb948190baa66a4353f0ca71 completed April 29, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5a39c5f374819084d3026bf2dedb70 completed July 17, 2026, 2:18 p.m.
NEDg Description generation batch_6a5a4118d71081908584d903fff7e0df completed July 17, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_6a5a41da85bc8190b940acefe2d02eee completed July 17, 2026, 2:53 p.m.
Created at: April 17, 2026, 7:16 p.m.