Triple

T20783456
Position Surface form Disambiguated ID Type / Status
Subject Jess Newton E511564 entity
Predicate appearsIn P795 FINISHED
Object The Newton Boys 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: The Newton Boys | Statement: [Jess Newton, appearsIn, The Newton Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Newton Boys
Context triple: [Jess Newton, appearsIn, 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 Newton Letter
    The Newton Letter is a short novel by Irish author John Banville that explores obsession, history, and identity through a scholar’s reflections while writing about Isaac Newton.
  • C. The Newton Brothers
    The Newton Brothers are an American film score composing duo known for their atmospheric and suspenseful music in horror and thriller movies.
  • D. Newton’s Wake
    Newton’s Wake is a science fiction novel by Ken MacLeod that blends post-singularity space opera with political satire and dark humor.
  • E. 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.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28a4584819084d2d02febe47001 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.