Triple

T14019173
Position Surface form Disambiguated ID Type / Status
Subject Billy Joe Royal E337280 entity
Predicate notableWork P4 FINISHED
Object Hush E936353 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: Hush | Statement: [Billy Joe Royal, notableWork, Hush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hush
Context triple: [Billy Joe Royal, notableWork, Hush]
  • A. Hush
    "Hush" is a critically acclaimed, largely dialogue-free horror episode of *Buffy the Vampire Slayer* renowned for its eerie villains, The Gentlemen, and its inventive use of silence.
  • B. Hush
    Hush is a 2016 horror-thriller film directed and co-written by Mike Flanagan, centered on a deaf-mute woman fighting for survival against a masked killer at her isolated home.
  • C. Hush chosen
    "Hush" is a 1967 rock song written by Joe South, best known for becoming a hit through Deep Purple’s 1968 cover version.
  • D. Hush
    Hush is a song famously performed by American singer Dolores Hope, showcasing her smooth vocal style in traditional pop music.
  • E. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32d77108190b038e8a750738439 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.