Triple

T36624937
Position Surface form Disambiguated ID Type / Status
Subject The Meal Ticket E904143 entity
Predicate pitchedForSingleFranchise P186097 FINISHED
Object true 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: true | Statement: [The Meal Ticket, pitchedForSingleFranchise, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pitchedForSingleFranchise
Context triple: [The Meal Ticket, pitchedForSingleFranchise, true]
  • A. playedForOnlyOneMLBTeam
    Indicates that a person’s entire Major League Baseball playing career was spent with a single team and no others.
  • B. playsForFranchise
    Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
  • C. playedEntireCareerForSingleFranchise
    Indicates that an athlete spent their entire professional career playing for only one franchise or team.
  • D. affiliatedWithMLBTeam
    Indicates that an entity has an official association or partnership with a Major League Baseball (MLB) team, such as ownership, operation, or formal organizational linkage.
  • E. ownsMajorFranchiseIn
    Indicates that an entity has controlling or primary ownership of a major franchise operating within a specified location or jurisdiction.
  • F. None of above. chosen

Provenance (4 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_69f76e6ae750819096911e6e2d4d12c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c83f5960819089610ed39c839678 completed May 3, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69f7c477a4d481908f52e55b6688f60c completed May 3, 2026, 9:56 p.m.
PDg Predicate description generation batch_69f7c776b4088190bef550c869da530d completed May 3, 2026, 10:08 p.m.
Created at: May 3, 2026, 4:11 p.m.