Triple

T14854227
Position Surface form Disambiguated ID Type / Status
Subject W. (film) E349310 entity
Predicate screenwriter P2831 FINISHED
Object Stanley Weiser 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: Stanley Weiser | Statement: [W. (film), screenwriter, Stanley Weiser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Weiser
Context triple: [W. (film), screenwriter, Stanley Weiser]
  • A. Stanley Weiser chosen
    Stanley Weiser is an American screenwriter best known for co-writing the film "Wall Street," which introduced the iconic character Gordon Gekko.
  • B. Charles Weinstock
    Charles Weinstock is a film producer best known for his work on the crime thriller movie "Fracture."
  • C. Sherman Weissman
    Sherman Weissman is an American geneticist known for his pioneering work in molecular genetics and his long-standing research and teaching career at Yale School of Medicine.
  • D. Frank Weil
    Frank Weil is an American lawyer best known as one of the founding partners of the prominent international law firm Weil, Gotshal & Manges LLP.
  • E. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
Created at: April 10, 2026, 1:54 a.m.