Triple

T6677634
Position Surface form Disambiguated ID Type / Status
Subject Christine Cosey E151893 entity
Predicate isRelatedTo P37 FINISHED
Object Heed Cosey E97638 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: Heed Cosey | Statement: [Christine Cosey, isRelatedTo, Heed Cosey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heed Cosey
Context triple: [Christine Cosey, isRelatedTo, Heed Cosey]
  • A. Heed Cosey chosen
    Heed Cosey is a central character in Toni Morrison’s novel "Love," whose complex relationship with the Cosey family and her former friend Christine drives much of the book’s exploration of memory, desire, and betrayal.
  • B. Cosey
    Cosey is a surname most notably associated with the character Bill Cosey from Toni Morrison’s novel "Love."
  • C. Bill Cosey
    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."
  • D. Hooker
    Hooker is a surname most notably associated with members of the prominent American Beecher family, including women’s rights advocate Isabella Beecher Hooker.
  • E. Del Ray
    Del Ray is a vibrant, walkable neighborhood in Alexandria, Virginia, known for its small-town feel, independent shops and restaurants, and strong community events like the annual Art on the Avenue festival.
  • 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.