Triple

T35809834
Position Surface form Disambiguated ID Type / Status
Subject The Game E1035198 entity
Predicate associatedWithWrestlerRole P131400 FINISHED
Object main eventer LITERAL 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: main eventer | Statement: [The Game, associatedWithWrestlerRole, main eventer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithWrestlerRole
Context triple: [The Game, associatedWithWrestlerRole, main eventer]
  • A. associatedWrestler
    Indicates that one entity is connected or linked to a particular wrestler, typically through participation, representation, or relevant involvement.
  • B. wrestlingRole chosen
    Indicates the specific capacity or function an individual performs within a wrestling context, such as competitor, referee, coach, or other defined role.
  • C. wrestledWith
    Indicates that one entity engaged in a physical wrestling contest or struggle with another entity.
  • D. nicknameOfAssociatedWrestler
    Indicates that one entity is a nickname that is used to refer to an associated professional wrestler.
  • E. associatedWithCharacterRole
    Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
  • F. None of above.

Provenance (3 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.