Triple

T18082224
Position Surface form Disambiguated ID Type / Status
Subject Margaret Wycherly E432720 entity
Predicate notableWork P4 FINISHED
Object The Big Shot NE NERFINISHED

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: The Big Shot | Statement: [Margaret Wycherly, notableWork, The Big Shot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Shot
Context triple: [Margaret Wycherly, notableWork, The Big Shot]
  • A. The Big Shot chosen
    "The Big Shot" is a 1942 American crime film noir starring Humphrey Bogart as a three-time loser drawn into one last ill-fated heist.
  • B. Bullshot
    Bullshot is a 1983 British comedy film that parodies 1930s adventure serials and detective stories, produced by HandMade Films.
  • C. Big Shot
    "Big Shot" is a 1978 rock song by American singer-songwriter Billy Joel, known for its satirical take on New York high society and featured on his album "52nd Street."
  • D. Big Shot
    Big Shot is a later installment in Jeff Kinney’s humorous "Diary of a Wimpy Kid" book series, following Greg Heffley’s misadventures with school sports and competition.
  • E. The Big Gamble
    The Big Gamble is a 1961 adventure-comedy film about two men undertaking a perilous trucking venture in Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fb42888190919fe711a281bd7c completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.