Triple

T3365007
Position Surface form Disambiguated ID Type / Status
Subject Amy Irving E70814 entity
Predicate name P16 FINISHED
Object Amy Irving E70814 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: Amy Irving | Statement: [Amy Irving, name, Amy Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Irving
Context triple: [Amy Irving, name, Amy Irving]
  • A. Amy Irving chosen
    Amy Irving is an American actress known for her work in films such as "Carrie," "Yentl," and "Crossing Delancey," as well as for her stage and television performances.
  • B. Lyn Irwin
    Lyn Irwin was an Australian wildlife conservationist and matriarch of the Irwin family, known for her pivotal role in developing the family’s wildlife park that became internationally famous through her son Steve Irwin.
  • C. Lisa Harrow
    Lisa Harrow is a New Zealand-born actress known for her work in film, television, and theatre, including prominent roles in Australian and British productions.
  • D. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • E. Grace Van Patten
    Grace Van Patten is an American actress known for her nuanced performances in independent films and television series, including notable roles in projects like "The Meyerowitz Stories" and "Nine Perfect Strangers."
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28643f48190b78b0222f8323344 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334332ce88190b898894286c166c2 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.