Triple

T17341987
Position Surface form Disambiguated ID Type / Status
Subject Saturday Night Fever E421087 entity
Predicate screenwriter P2831 FINISHED
Object Norman Wexler E948180 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: Norman Wexler | Statement: [Saturday Night Fever, screenwriter, Norman Wexler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Wexler
Context triple: [Saturday Night Fever, screenwriter, Norman Wexler]
  • A. Norman Wexler chosen
    Norman Wexler was an American screenwriter best known for his work on influential 1970s films such as "Serpico" and "Saturday Night Fever."
  • B. Milton J. Rosenberg
    Milton J. Rosenberg was an American social psychologist and long-time Chicago radio talk show host known for his influential program "Extension 720."
  • C. Sidney B. Kramer
    Sidney B. Kramer was an American publisher best known as a co-founder of the mass-market paperback company Bantam Books.
  • D. Melvin Weinberg
    Melvin Weinberg was a con artist turned FBI informant who played a central role in orchestrating the ABSCAM political corruption sting operation in the late 1970s.
  • E. Marvin L. Cohen
    Marvin L. Cohen is a prominent American condensed matter physicist known for his pioneering work in computational materials science and electronic structure theory.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a173e1c8190afcebf25ee902cc8 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c588a7081909ab108cb4adfedfe completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.