Triple

T13162849
Position Surface form Disambiguated ID Type / Status
Subject Johnathon Schaech E312769 entity
Predicate notableWork P4 FINISHED
Object Hush E730771 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: [Johnathon Schaech, notableWork, Hush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hush
Context triple: [Johnathon Schaech, 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 chosen
    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
    "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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf4cd788190b74cca51b5219bfb completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.