Triple

T35492985
Position Surface form Disambiguated ID Type / Status
Subject OVW Heavyweight Championship E1025778 entity
Predicate hasNotableAlumni P51 FINISHED
Object Matt Cappotelli
Matt Cappotelli was an American professional wrestler best known for co-winning WWE Tough Enough III and his promising but tragically short career cut short by recurring brain cancer.
E2157104 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: Matt Cappotelli | Statement: [OVW Heavyweight Championship, hasNotableAlumni, Matt Cappotelli]
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: Matt Cappotelli
Triple: [OVW Heavyweight Championship, hasNotableAlumni, Matt Cappotelli]
Generated description
Matt Cappotelli was an American professional wrestler best known for co-winning WWE Tough Enough III and his promising but tragically short career cut short by recurring brain cancer.

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_69f76dfbcdd881908c7b0b6bc502252b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7972f535081908b76e690607ebb6b completed May 3, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389149f0848190a246c168f0ccdbf9 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a389218b7248190aab0663e9b0f3381 completed June 22, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_6a3894ca2a788190a7816a8be18c3462 completed June 22, 2026, 1:50 a.m.
Created at: May 3, 2026, 4:04 p.m.