Triple

T35254427
Position Surface form Disambiguated ID Type / Status
Subject Bill Needham E1018184 entity
Predicate spentMostOfPlayingCareerWith P182663 FINISHED
Object Cleveland Barons NE NERFINISHED

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: Cleveland Barons | Statement: [Bill Needham, spentMostOfPlayingCareerWith, Cleveland Barons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spentMostOfPlayingCareerWith
Context triple: [Bill Needham, spentMostOfPlayingCareerWith, Cleveland Barons]
  • A. spentMostOfCareerIn
    Indicates that an individual devoted the majority of their professional working life to being in or associated with a particular place, organization, or context.
  • B. seasonMostAssociatedWith
    Indicates the season with which something is most strongly or typically associated compared to other seasons.
  • C. playsForClub
    Indicates that a person is an active member of and participates in a particular sports club or team.
  • D. playedForCity
    Indicates that an entity (typically a person or team) has been a member of or represented a sports team or organization based in a particular city.
  • E. laterPlayedFor
    Indicates that an individual was a member of or played for a team or organization at a time after a previously referenced team or organization.
  • 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_69f76de407d081909dfc3c419817ae93 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7904a770481908ef3f788e51e8dba completed May 3, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
PDg Predicate description generation batch_69f78f629d508190b755848162c4e101 completed May 3, 2026, 6:09 p.m.
Created at: May 3, 2026, 4:02 p.m.