Triple

T13255016
Position Surface form Disambiguated ID Type / Status
Subject Cormac McCarthy E315633 entity
Predicate spouse P13 FINISHED
Object Anne DeLisle E348946 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: Anne DeLisle | Statement: [Cormac McCarthy, spouse, Anne DeLisle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne DeLisle
Context triple: [Cormac McCarthy, spouse, Anne DeLisle]
  • A. Anne DeLisle chosen
    Anne DeLisle is an American singer and vocal coach best known as the former wife of novelist Cormac McCarthy.
  • B. Claire Seymour
    Claire Seymour was the wife of American engineer Willis Carrier, the inventor widely credited with creating modern air conditioning.
  • C. Annette Kirk
    Annette Kirk is an American cultural advocate and widow of conservative thinker Russell Kirk, known for promoting his intellectual legacy and traditionalist ideas through institutions such as the Kirk Center for Cultural Renewal.
  • D. Anna Crouse
    Anna Crouse is a notable member of the prominent Lindsay and Crouse family, recognized for her connection to this influential lineage.
  • E. Rose Nylund
    Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f794202df08190acf1a7710b64198c completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:24 p.m.