Triple

T9332703
Position Surface form Disambiguated ID Type / Status
Subject William Joseph Klem E224561 entity
Predicate worldSeriesUmpiringRecord P87561 FINISHED
Object record for most World Series worked by an umpire — 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: record for most World Series worked by an umpire | Statement: [William Joseph Klem, worldSeriesUmpiringRecord, record for most World Series worked by an umpire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldSeriesUmpiringRecord
Context triple: [William Joseph Klem, worldSeriesUmpiringRecord, record for most World Series worked by an umpire]
  • A. WorldSeriesChampionships
    Indicates the number of World Series championship titles that an entity (typically a baseball team or franchise) has won.
  • B. worldSeriesAppearancesAsManager
    Indicates the number of times an individual has appeared in the World Series specifically in the role of a team manager.
  • C. worldSeriesShutouts
    Indicates that a pitcher or team recorded a shutout (allowing no runs) in a World Series game.
  • D. umpiresProvidedBy
    Indicates that one entity supplies or assigns umpires to officiate for another entity or event.
  • E. umpireLeague
    Indicates that an umpire is associated with, works in, or officiates for a particular league.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37afceb88190ad7ffbc7b47a1caa completed April 1, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cc7a643924819097f01144734901cf completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc94b796788190816b71b1e9996288 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 7:39 p.m.