Triple

T24644457
Position Surface form Disambiguated ID Type / Status
Subject Kevin Owens E610066 entity
Predicate trainedBy P3665 FINISHED
Object Jacques Rougeau
Jacques Rougeau is a retired Canadian professional wrestler best known for his WWF runs as The Mountie and one half of The Quebecers, as well as for training future stars like Kevin Owens.
E1685251 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: Jacques Rougeau | Statement: [Kevin Owens, trainedBy, Jacques Rougeau]
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: Jacques Rougeau
Triple: [Kevin Owens, trainedBy, Jacques Rougeau]
Generated description
Jacques Rougeau is a retired Canadian professional wrestler best known for his WWF runs as The Mountie and one half of The Quebecers, as well as for training future stars like Kevin Owens.

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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40f7f76288190badd669ed3221a03 completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad26d9708190837e274390a9a54a completed May 22, 2026, 7:23 p.m.
NEDg Description generation batch_6a10ae0e67c0819087189306e39cdbc7 completed May 22, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a10ae851d548190a19c0f9293b99e24 completed May 22, 2026, 7:29 p.m.
Created at: April 18, 2026, 2:33 a.m.