Triple

T14954569
Position Surface form Disambiguated ID Type / Status
Subject Joan Hambling E372886 entity
Predicate hasColleague P398 FINISHED
Object Bill Dobson unclear NED1 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: Bill Dobson | Statement: [Joan Hambling, hasColleague, Bill Dobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Dobson
Context triple: [Joan Hambling, hasColleague, Bill Dobson]
  • A. Bill Dobson
    Bill Dobson is a troubled, charismatic English professor whose personal and professional unraveling drives much of the dark comedy and drama in the Netflix series "The Chair."
  • B. Bill Dobson
    Bill Dobson is an individual known primarily through his association with Yaz McKay, likely within a shared professional or creative context.
  • C. Milton Moore
    Milton Moore was a cinematographer active during the silent film era, known for his work on early American cinema.
  • D. Bill Rigney
    Bill Rigney was an American Major League Baseball manager and former infielder best known for managing teams such as the New York/San Francisco Giants, Los Angeles/California Angels, and Minnesota Twins.
  • E. Don Dodson
    Don Dodson is an individual whose name is associated with or referenced by the term "Dodson."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968f25e08190bfbf7a3541f79add completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:40 a.m.