Triple

T12224841
Position Surface form Disambiguated ID Type / Status
Subject Operation Petticoat E291322 entity
Predicate screenwriter P2831 FINISHED
Object Stanley Shapiro E419110 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: Stanley Shapiro | Statement: [Operation Petticoat, screenwriter, Stanley Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Shapiro
Context triple: [Operation Petticoat, screenwriter, Stanley Shapiro]
  • A. Stanley Shapiro chosen
    Stanley Shapiro was an American screenwriter best known for his sharp comedic scripts in mid-20th-century Hollywood, including several hit romantic comedies.
  • B. Irving Shapiro
    Irving Shapiro was an influential American corporate executive and lawyer best known for leading DuPont and helping to shape modern U.S. business policy and corporate governance.
  • C. George Shapiro
    George Shapiro was a prominent American talent manager and television producer best known for managing Jerry Seinfeld and producing the hit sitcom "Seinfeld."
  • D. Theodore Shapiro
    Theodore Shapiro is an American film composer known for his work on numerous Hollywood comedies and dramas, including scores for major studio films.
  • E. Harold T. Shapiro
    Harold T. Shapiro is an economist and academic leader best known for serving as president of both Princeton University and the University of Michigan and for his influential work at the intersection of higher education and public policy.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:51 p.m.