Triple

T6067732
Position Surface form Disambiguated ID Type / Status
Subject Skeet Ulrich E135200 entity
Predicate appearedIn P795 FINISHED
Object The Newton Boys E121638 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: The Newton Boys | Statement: [Skeet Ulrich, appearedIn, The Newton Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Newton Boys
Context triple: [Skeet Ulrich, appearedIn, The Newton Boys]
  • A. The Newton Boys chosen
    The Newton Boys is a 1998 crime drama film based on the true story of a gang of Texas brothers who became some of the most successful bank robbers in American history.
  • B. The Boy
    The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
  • C. Os Netos de Norton
    Os Netos de Norton is a notable literary work by Portuguese writer Orlando da Costa, recognized for its exploration of social and historical themes in Lusophone culture.
  • D. The Seven-Ups
    The Seven-Ups is a 1973 American crime thriller film following an elite NYPD unit that uses unorthodox tactics to take down organized crime, starring Roy Scheider.
  • E. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057403a8081908b593472fcc0d699 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d297ff88190a01b98f7ec9d9cf1 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.