Triple

T8207709
Position Surface form Disambiguated ID Type / Status
Subject The Amazing Mr. Williams E191728 entity
Predicate screenwriter P2831 FINISHED
Object Benn W. Levy E504334 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: Benn W. Levy | Statement: [The Amazing Mr. Williams, screenwriter, Benn W. Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benn W. Levy
Context triple: [The Amazing Mr. Williams, screenwriter, Benn W. Levy]
  • A. Benn W. Levy chosen
    Benn W. Levy was a British playwright, screenwriter, and politician known for his work in early sound cinema and his later career as a Labour Member of Parliament.
  • B. Robert L. Levy
    Robert L. Levy is a film producer best known for his work on popular Hollywood comedies, including the hit movie "Wedding Crashers."
  • C. Fredric G. Levin
    Fredric G. Levin was a prominent American trial lawyer and philanthropist known for his success in high-stakes personal injury and tobacco litigation.
  • D. Stephen Levinson
    Stephen Levinson is an American television and film producer and talent manager best known for producing hit series like "Entourage" and "Ballers."
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726d26ec8190957da68227f5ce61 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf5120159881908361bf9cb81e3932 completed April 3, 2026, 5:33 a.m.
Created at: March 30, 2026, 5:43 p.m.