Triple

T3086273
Position Surface form Disambiguated ID Type / Status
Subject Traffic (2000 film) E64379 entity
Predicate stars P1956 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: [Traffic (2000 film), stars, Amy Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Irving
Context triple: [Traffic (2000 film), stars, 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. 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.
  • C. 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."
  • D. 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."
  • E. Lisa Sheridan
    Lisa Sheridan is the troubled protagonist of the psychological thriller film "Obsessed," whose fixation drives the story's escalating tension and conflict.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1ec187c819084565514ebb99cdb completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89e6f5c8190993794e2c9977ee6 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.