Triple

T7951784
Position Surface form Disambiguated ID Type / Status
Subject Coyote Ugly E184630 entity
Predicate editedBy P1954 FINISHED
Object William Goldenberg E156782 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: William Goldenberg | Statement: [Coyote Ugly, editedBy, William Goldenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Goldenberg
Context triple: [Coyote Ugly, editedBy, William Goldenberg]
  • A. William Goldenberg chosen
    William Goldenberg is an American film editor known for his work on numerous acclaimed movies, including several collaborations with directors like Michael Mann and Ben Affleck.
  • B. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • C. Melvyn Goldstein
    Melvyn Goldstein is an American anthropologist and Tibetologist renowned for his extensive research and publications on Tibetan society, history, and language.
  • D. Bernard Goldstein
    Bernard Goldstein is a notable individual whose achievements or prominence have made the surname Goldstein particularly recognized.
  • E. Harry Goldfarb
    Harry Goldfarb is a young heroin addict whose escalating dependence and shattered dreams form one of the central, tragic storylines in the film "Requiem for a Dream."
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc937e687081908ae33ae7335d685e completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:10 p.m.