Triple

T10453916
Position Surface form Disambiguated ID Type / Status
Subject Synecdoche, New York E246501 entity
Predicate productionCompany P490 FINISHED
Object Likely Story E341078 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: Likely Story | Statement: [Synecdoche, New York, productionCompany, Likely Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Likely Story
Context triple: [Synecdoche, New York, productionCompany, Likely Story]
  • A. Likely Story chosen
    Likely Story is an American film and television production company known for producing independent and character-driven movies.
  • B. A Likely Story
    A Likely Story is a humorous and imaginative novel by British author and mathematician William De Morgan, known for its witty dialogue and intricate, character-driven plot.
  • C. Banal Story
    "Banal Story" is a short story by Ernest Hemingway included in his 1927 collection *Men Without Women*, noted for its experimental, metafictional narrative style.
  • D. Long Story Short
    "Long Story Short" is a reflective, upbeat pop-folk song by Taylor Swift from her 2020 album *Evermore*, in which she looks back on past hardships and celebrates personal growth and a healthier relationship.
  • E. The Big Story
    The Big Story is a 1949 American film noir crime drama best known for starring actor John Dall.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0d73d48190acb687b96918e0cf completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f07c9f48190b0fce7740a2e003a completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:17 p.m.