Triple

T5581269
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Coppola E146644 entity
Predicate directed P7373 FINISHED
Object Paris Can Wait E532145 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: Paris Can Wait | Statement: [Eleanor Coppola, directed, Paris Can Wait]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Can Wait
Context triple: [Eleanor Coppola, directed, Paris Can Wait]
  • A. Paris Can Wait chosen
    Paris Can Wait is a romantic comedy film directed by Eleanor Coppola that follows a woman’s spontaneous road trip through France, blending travel, food, and self-discovery.
  • B. Lady for a Day
    Lady for a Day is a 1933 American comedy-drama film directed by Frank Capra, based on a Damon Runyon story about a poor street peddler transformed into a society lady.
  • C. Love Is a Many-Splendored Thing
    Love Is a Many-Splendored Thing is a 1955 romantic drama film set in Hong Kong, renowned for its interracial love story and its iconic, Oscar-winning title song.
  • D. Charade
    Charade is a 1963 romantic comedy-thriller film starring Cary Grant and Audrey Hepburn, renowned for its blend of suspense, wit, and stylish Parisian setting.
  • E. On the Town
    On the Town is a 1944 Broadway musical with music by Leonard Bernstein that follows three sailors on 24-hour shore leave in New York City, later adapted into a popular 1949 film.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d26856c8190bdda69a049df1c10 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.