Triple

T17471933
Position Surface form Disambiguated ID Type / Status
Subject Dennis Shryack E425437 entity
Predicate notableWork P4 FINISHED
Object Code of Silence 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: Code of Silence | Statement: [Dennis Shryack, notableWork, Code of Silence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Code of Silence
Context triple: [Dennis Shryack, notableWork, Code of Silence]
  • A. Code of Silence chosen
    Code of Silence is a 1985 American action crime film starring Chuck Norris as a tough Chicago cop battling corruption and gang violence.
  • B. 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.
  • C. Witness in the Dark
    Witness in the Dark is a 1959 British crime thriller film about a blind woman who becomes the target of a killer after overhearing a murder.
  • D. Table of Silence
    Table of Silence is a modernist stone sculpture by Constantin Brâncuși, created as part of a memorial ensemble in Târgu Jiu, Romania, to honor those who died in World War I.
  • E. From the Shadows
    From the Shadows is a memoir by Robert M. Gates recounting his decades of service in U.S. intelligence and national security, particularly within the CIA and the White House.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451b8a51081908d94bebe2417e3d3 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.