Triple

T26967092
Position Surface form Disambiguated ID Type / Status
Subject Gabby Hartnett E679199 entity
Predicate opponentDuringHomerInTheGloamin P58158 FINISHED
Object Pittsburgh Pirates 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: Pittsburgh Pirates | Statement: [Gabby Hartnett, opponentDuringHomerInTheGloamin, Pittsburgh Pirates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opponentDuringHomerInTheGloamin
Context triple: [Gabby Hartnett, opponentDuringHomerInTheGloamin, Pittsburgh Pirates]
  • A. opponentBatterInFamousHomeRun
    Indicates that the subject was the opposing batter involved in a specific, well-known home run event.
  • B. opponentInScenario chosen
    Indicates that one entity is an adversary or rival of another within a specific scenario, context, or situation.
  • C. conferenceOfLosingTeam
    Indicates the conference or league affiliation to which the losing team in a given game or competition belongs.
  • D. game6ControversyPlayBatter
    Indicates that a specific controversial play in game 6 involved a particular batter as the offensive participant.
  • E. intendedOpponents
    Indicates that one entity is the target or adversary that another entity is meant or designed to oppose or confront.
  • 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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f631850ae08190a0ba51e4f1e4ccb3 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 6:36 a.m.