Triple

T11603463
Position Surface form Disambiguated ID Type / Status
Subject Joe South E275190 entity
Predicate notableWork P4 FINISHED
Object Hush
"Hush" is a 1967 rock song written by Joe South, best known for becoming a hit through Deep Purple’s 1968 cover version.
 E936353 NE FINISHED

How this triple was built (4 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: [Joe South, notableWork, Hush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hush
Context triple: [Joe South, notableWork, Hush]
  • A. 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.
  • B. 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.
  • C. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • D. Whisper
    Whisper is a 2007 supernatural horror film in which a botched kidnapping leads to terrifying events surrounding a mysterious young boy.
  • E. Whisper
    Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hush
Triple: [Joe South, notableWork, Hush]
Generated description
"Hush" is a 1967 rock song written by Joe South, best known for becoming a hit through Deep Purple’s 1968 cover version.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hush
Target entity description: "Hush" is a 1967 rock song written by Joe South, best known for becoming a hit through Deep Purple’s 1968 cover version.
  • 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. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • D. Whisper
    Whisper is a 2007 supernatural horror film in which a botched kidnapping leads to terrifying events surrounding a mysterious young boy.
  • E. Whisper
    Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
  • F. None of above. chosen

Provenance (5 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a8022800819096d7a87ac8c1c751 completed April 22, 2026, 10:50 a.m.
NEDg Description generation batch_69e8af9665648190b7732076aa129671 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b3a3720819095a4a87176e052cb completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.