Triple

T18958949
Position Surface form Disambiguated ID Type / Status
Subject Who Was That Lady? E463857 entity
Predicate screenwriter P2831 FINISHED
Object Norman Krasna 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: Norman Krasna | Statement: [Who Was That Lady?, screenwriter, Norman Krasna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Krasna
Context triple: [Who Was That Lady?, screenwriter, Norman Krasna]
  • A. Norman Krasna chosen
    Norman Krasna was an American screenwriter, playwright, and director known for his witty romantic comedies in Hollywood’s Golden Age.
  • B. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • C. Norman Barasch
    Norman Barasch was an American playwright and television writer best known for co-writing the stage play that became the basis for the film "Send Me No Flowers."
  • D. Harold Blum
    Harold Blum is an individual notable enough to be recognized as a namesake of the surname Blum, though specific widely known biographical details are not clearly established.
  • E. Glen Sobel
    Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon