Triple

T14008887
Position Surface form Disambiguated ID Type / Status
Subject Ghostbusters (2016 film) E337024 entity
Predicate composer P1361 FINISHED
Object Theodore Shapiro E238360 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: Theodore Shapiro | Statement: [Ghostbusters (2016 film), composer, Theodore Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore Shapiro
Context triple: [Ghostbusters (2016 film), composer, Theodore Shapiro]
  • A. Theodore Shapiro chosen
    Theodore Shapiro is an American film composer known for his work on numerous Hollywood comedies and dramas, including scores for major studio films.
  • 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. Stanley Shapiro
    Stanley Shapiro was an American screenwriter best known for his sharp comedic scripts in mid-20th-century Hollywood, including several hit romantic comedies.
  • E. Donald P. Greenberg
    Donald P. Greenberg is a pioneering computer graphics researcher and educator known for his influential work in rendering, visualization, and the development of computer graphics programs at Cornell University.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0167369d9481909015c34d475fac14 completed May 11, 2026, 5:20 a.m.
Created at: April 9, 2026, 10:19 p.m.