Triple

T2978974
Position Surface form Disambiguated ID Type / Status
Subject Bennett E80464 entity
Predicate hasNotableBearer P458 FINISHED
Object John Bennett E141761 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: John Bennett | Statement: [Bennett, hasNotableBearer, John Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bennett
Context triple: [Bennett, hasNotableBearer, John Bennett]
  • A. John Bennett chosen
    John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
  • B. Nicholas Baker
    Nicholas Baker is an alternate name associated with Niels Bohr, the pioneering Danish physicist who made foundational contributions to understanding atomic structure and quantum theory.
  • C. Nicholas Baker
    Nicholas Baker is a relatively uncommon personal name that may refer to multiple individuals across different fields rather than a single widely recognized public figure.
  • D. Gene Milford
    Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
  • E. Frank Mitchell
    Frank Mitchell is a central father figure on the 1990s sitcom "Moesha," known for his strict but caring parenting style and frequent clashes with his teenage daughter.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224ad6c30819086a9df7fc7c51ed8 completed March 12, 2026, 2:27 a.m.
Created at: March 8, 2026, 2:58 p.m.