Triple

T24644481
Position Surface form Disambiguated ID Type / Status
Subject Kevin Owens E610066 entity
Predicate hasWonTitle P8326 FINISHED
Object PWG World Championship
The PWG World Championship is the top singles title of the independent wrestling promotion Pro Wrestling Guerrilla, known for featuring many future major wrestling stars.
E1643981 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: PWG World Championship | Statement: [Kevin Owens, hasWonTitle, PWG World Championship]
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: PWG World Championship
Triple: [Kevin Owens, hasWonTitle, PWG World Championship]
Generated description
The PWG World Championship is the top singles title of the independent wrestling promotion Pro Wrestling Guerrilla, known for featuring many future major wrestling stars.

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_6a10049409b081908ec28b36b3c6677f completed May 22, 2026, 7:24 a.m.
NEDg Description generation batch_6a100640e64081909c54d3a2761007fb completed May 22, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_6a1006c065cc81908af8ae63739b4c37 completed May 22, 2026, 7:33 a.m.
Created at: April 18, 2026, 2:33 a.m.