Triple

T18959042
Position Surface form Disambiguated ID Type / Status
Subject The Silencers E463859 entity
Predicate basedOn P98 FINISHED
Object The Silencers (novel) 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 Silencers (novel) | Statement: [The Silencers, basedOn, The Silencers (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Silencers (novel)
Context triple: [The Silencers, basedOn, The Silencers (novel)]
  • A. The Silencers chosen
    The Silencers is a 1966 spy comedy film starring Dean Martin as secret agent Matt Helm, parodying the James Bond-style espionage genre.
  • B. Silencers
    Silencers is a comic book series published by Aircel Comics, known for its gritty, action-driven storytelling and crime-themed narrative.
  • C. The Quiet Gun
    The Quiet Gun is a 1957 American Western film starring Forrest Tucker as a sheriff caught in a tense conflict over frontier justice and mob violence.
  • D. Sworn to Silence
    Sworn to Silence is a 1987 television crime drama film in which Dabney Coleman delivered an acclaimed performance that earned him an award.
  • E. The Silencing
    The Silencing is a 2020 crime thriller film about a reformed hunter drawn into a deadly game of cat and mouse with a serial killer in the wilderness.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon