Triple

T31572275
Position Surface form Disambiguated ID Type / Status
Subject George Pipgras E805596 entity
Predicate servedAsUmpireInLeague P74125 FINISHED
Object American League 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: American League | Statement: [George Pipgras, servedAsUmpireInLeague, American League]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedAsUmpireInLeague
Context triple: [George Pipgras, servedAsUmpireInLeague, American League]
  • A. umpireLeague
    Indicates that an umpire is associated with, works in, or officiates for a particular league.
  • B. yearsActiveAsUmpire
    Indicates the span of time during which an entity has served or been active in the role of an umpire.
  • C. eraAsUmpire
    Indicates the time period during which an entity served in the role of an umpire.
  • D. officiatedInLeague chosen
    Indicates that an official (such as a referee or umpire) performed their officiating duties within a particular sports league.
  • E. leagueOfficiated
    Indicates that a particular league is overseen, governed, or administered by a specified officiating body or authority.
  • 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_69f348d2ee94819091918d1789398c29 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fed357b2b4819084c709056a54461f completed May 9, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69fed103d9cc81909b11619745110c61 completed May 9, 2026, 6:15 a.m.
Created at: April 30, 2026, 10:20 p.m.