Triple

T5487802
Position Surface form Disambiguated ID Type / Status
Subject Andrea Barrett E123626 entity
Predicate name P16 FINISHED
Object Andrea Barrett E123626 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: Andrea Barrett | Statement: [Andrea Barrett, name, Andrea Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Barrett
Context triple: [Andrea Barrett, name, Andrea Barrett]
  • A. Andrea Barrett chosen
    Andrea Barrett is an American novelist and short story writer best known for her historically rich, science-infused fiction, including the National Book Award–winning collection "Ship Fever."
  • B. Diane Johnson
    Diane Johnson is an American novelist and essayist best known for co-writing the screenplay for Stanley Kubrick’s film adaptation of Stephen King’s "The Shining."
  • C. Anne Hartnett
    Anne Hartnett is an individual notable enough to be recognized as a prominent bearer of the surname Hartnett.
  • D. 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.
  • E. Marilynne Robinson
    Marilynne Robinson is an acclaimed American novelist and essayist known for her deeply reflective, spiritually infused works such as "Housekeeping" and the Gilead series.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9264d014819097c83bb5c2bb8c39 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c884c0c8190b2f8345a5017c71f completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.