Triple

T10225400
Position Surface form Disambiguated ID Type / Status
Subject Tyler E243190 entity
Predicate hasNotableBearer P458 FINISHED
Object Anne Tyler E323913 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 Tyler | Statement: [Tyler, hasNotableBearer, Anne Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Tyler
Context triple: [Tyler, hasNotableBearer, Anne Tyler]
  • A. Anne Tyler chosen
    Anne Tyler is a Pulitzer Prize–winning American novelist known for her insightful, character-driven stories about family life and ordinary people.
  • B. Joyce Harwood
    Joyce Harwood is a central femme fatale-style figure in the 1946 film noir "The Blue Dahlia," entangled in a web of murder, deception, and romantic tension.
  • C. Ann Beattie
    Ann Beattie is an American author renowned for her incisive short stories and novels depicting contemporary life and relationships, often associated with the minimalist literary movement.
  • D. Jane Smiley
    Jane Smiley is a Pulitzer Prize–winning American novelist best known for works such as "A Thousand Acres," noted for her incisive explorations of family, morality, and Midwestern life.
  • E. Sue Miller
    Sue Miller is the wife of American musician Jeff Tweedy, frontman of the band Wilco.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a84c80c88190846a096ae7c1d7e4 completed April 8, 2026, 7:11 p.m.
Created at: April 6, 2026, 11:17 a.m.