Triple

T6677633
Position Surface form Disambiguated ID Type / Status
Subject Christine Cosey E151893 entity
Predicate isRelatedTo P37 FINISHED
Object Bill Cosey E98926 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 Cosey | Statement: [Christine Cosey, isRelatedTo, Bill Cosey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Cosey
Context triple: [Christine Cosey, isRelatedTo, Bill Cosey]
  • A. Bill Cosey chosen
    Bill Cosey is the charismatic, morally ambiguous patriarch and hotel owner whose life and legacy drive the intertwined relationships and conflicts in Toni Morrison’s novel "Love."
  • B. Donald Cook
    Donald Cook was an American stage and film actor active in the early to mid-20th century, known for his roles in both Broadway productions and Hollywood movies.
  • C. Sam Sharkey
    Sam Sharkey is a character associated with the American folklore surrounding the legendary lumberjack Paul Bunyan.
  • D. Don Covay
    Don Covay was an influential American R&B and soul singer-songwriter known for his gritty vocal style and for writing hits for himself and other major artists in the 1960s and 1970s.
  • E. David Cobb
    David Cobb is an American attorney and political activist best known as the Green Party’s presidential nominee in the 2004 U.S. election.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f53af48190b0b25b61c3531158 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a78ab081909d904e4468293957 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.