Triple

T38415094
Position Surface form Disambiguated ID Type / Status
Subject Daniel Cormier E901580 entity
Predicate titleHeld P7034 FINISHED
Object King of the Cage Heavyweight Champion
The King of the Cage Heavyweight Champion is the title awarded to the top heavyweight mixed martial artist competing in the King of the Cage promotion.
E2270185 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: King of the Cage Heavyweight Champion | Statement: [Daniel Cormier, titleHeld, King of the Cage Heavyweight Champion]
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: King of the Cage Heavyweight Champion
Triple: [Daniel Cormier, titleHeld, King of the Cage Heavyweight Champion]
Generated description
The King of the Cage Heavyweight Champion is the title awarded to the top heavyweight mixed martial artist competing in the King of the Cage promotion.

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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd82530c81909f8d232f60da676d completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c285f8cc819091786c8d88e651f0 completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c38d00308190aa8cbf6fbc9f081b completed June 29, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a41c76fae84819094a9930a06e8ce2f completed June 29, 2026, 1:16 a.m.
Created at: May 3, 2026, 4:31 p.m.