Triple

T31149065
Position Surface form Disambiguated ID Type / Status
Subject Brent Harvey E794016 entity
Predicate clubNumberOfGamesRecord P171347 FINISHED
Object North Melbourne games record 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: North Melbourne games record | Statement: [Brent Harvey, clubNumberOfGamesRecord, North Melbourne games record]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clubNumberOfGamesRecord
Context triple: [Brent Harvey, clubNumberOfGamesRecord, North Melbourne games record]
  • A. teamWithMostGames
    Indicates the relationship where a team is identified as the one that has played the highest number of games within a given set or context.
  • B. mostGamesWonBy
    Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
  • C. mostOverallWinsRecord
    Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
  • D. teamWithMostAppearances
    Indicates the team that has participated the greatest number of times in a given context or competition.
  • E. leagueScoringRecord
    Indicates that an entity holds the record for the highest scoring performance or total within 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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f80b62c8190bf2af2be0d3a7df8 completed May 3, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
PDg Predicate description generation batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 completed May 3, 2026, 12:59 a.m.
Created at: April 29, 2026, 9:06 p.m.