Triple

T7502606
Position Surface form Disambiguated ID Type / Status
Subject Arnold Jacob Auerbach E177300 entity
Predicate numberOfNBAChampionshipsTotalWithCeltics P7479 FINISHED
Object 16 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: 16 | Statement: [Arnold Jacob Auerbach, numberOfNBAChampionshipsTotalWithCeltics, 16]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfNBAChampionshipsTotalWithCeltics
Context triple: [Arnold Jacob Auerbach, numberOfNBAChampionshipsTotalWithCeltics, 16]
  • A. celticsFranchise
    Indicates that one entity is the NBA franchise known as the Boston Celtics associated with the other entity (such as a city, league, or organization).
  • B. CelticsPreviousFinalsAppearance
    Indicates that the referenced NBA Finals appearance occurred immediately before the Celtics’ current or specified Finals appearance.
  • C. NBAchampionships chosen
    Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
  • D. wonNBAchampionshipWith
    Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
  • E. NBAchampionshipYears
    Indicates the specific years in which an entity (typically a team) won an NBA championship.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69c6f4d266d88190982cf5d2ee2e9564 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:44 p.m.