Triple

T12112963
Position Surface form Disambiguated ID Type / Status
Subject Barberton, Ohio E288478 entity
Predicate foundedBy P104 FINISHED
Object O. C. Barber E965414 NE 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: O. C. Barber | Statement: [Barberton, Ohio, foundedBy, O. C. Barber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O. C. Barber
Context triple: [Barberton, Ohio, foundedBy, O. C. Barber]
  • A. O. C. Barber chosen
    O. C. Barber was an American industrialist and entrepreneur known as the "Match King" for his leadership of the Diamond Match Company and for founding and developing the city of Barberton, Ohio.
  • B. Charles Webb
    Charles Webb was an American novelist best known for writing the 1963 novel that became the basis for the iconic film "The Graduate."
  • C. Melvin Gregg
    Melvin Gregg is an American actor and former Vine personality known for his roles in film and television, including the series "Nine Perfect Strangers."
  • D. John DeCuir
    John DeCuir was an American art director and production designer renowned for his lavish, large-scale set designs on classic Hollywood epics.
  • E. R. B. Barrett
    R. B. Barrett is an individual notable enough to be recognized as a prominent bearer of the surname Barrett.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a75f77881908345a585a689f69f completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.