Triple

T22171882
Position Surface form Disambiguated ID Type / Status
Subject Call Me Madam E547938 entity
Predicate bookBy P2353 FINISHED
Object Howard Lindsay 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: Howard Lindsay | Statement: [Call Me Madam, bookBy, Howard Lindsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Lindsay
Context triple: [Call Me Madam, bookBy, Howard Lindsay]
  • A. Howard Lindsay chosen
    Howard Lindsay was an American playwright, librettist, and actor best known for his prolific Broadway collaborations, including co-writing the book for the musical "The Sound of Music."
  • B. Roy Sharman
    Roy Sharman is a film editor known for his work on the 2003 adaptation of "I Capture the Castle."
  • C. Hank Corwin
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • D. Martin Benson
    Martin Benson was a British character actor known for his prolific film and television career, including roles in classics like "Goldfinger" and "The King and I."
  • E. Albert Hackett
    Albert Hackett was an American playwright and screenwriter best known for co-writing classic films such as "The Thin Man" and "It's a Wonderful Life," often in collaboration with his wife Frances Goodrich.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a68c26c8190b1258595bd96cb63 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.