Triple

T1100944
Position Surface form Disambiguated ID Type / Status
Subject Jim Leyland E24377 entity
Predicate formerPlayerPosition P11751 FINISHED
Object catcher 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: catcher | Statement: [Jim Leyland, formerPlayerPosition, catcher]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerPlayerPosition
Context triple: [Jim Leyland, formerPlayerPosition, catcher]
  • A. playsInPosition chosen
    Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
  • B. positionInLineup
    Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
  • C. hasFormerTeam
    Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
  • D. MVPposition
    Indicates the position or role in which an entity served when it was recognized as the Most Valuable Player (MVP).
  • E. roleInLeagueHistory
    Indicates the specific function, contribution, or significance an entity has had within the historical development or narrative of a league.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c079f48190a0e0ddda182f7a01 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b745ef3481909a7ce4647c8567b3 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.