Triple

T12493068
Position Surface form Disambiguated ID Type / Status
Subject Dolores Hope E298612 entity
Predicate notableWork P4 FINISHED
Object Hush
Hush is a song famously performed by American singer Dolores Hope, showcasing her smooth vocal style in traditional pop music.
 E985852 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: [Dolores Hope, notableWork, Hush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hush
Context triple: [Dolores Hope, 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
    "Hush" is a 1967 rock song written by Joe South, best known for becoming a hit through Deep Purple’s 1968 cover version.
  • D. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • 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: [Dolores Hope, notableWork, Hush]
Generated description
Hush is a song famously performed by American singer Dolores Hope, showcasing her smooth vocal style in traditional pop music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hush
Target entity description: Hush is a song famously performed by American singer Dolores Hope, showcasing her smooth vocal style in traditional pop music.
  • 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
    "Hush" is a 1967 rock song written by Joe South, best known for becoming a hit through Deep Purple’s 1968 cover version.
  • D. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bab99bc8190abe6dfb7c6a7fe6f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c276d388190b58fe884466076ee completed May 2, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69f64ce7b444819094d94bec749d7618 completed May 2, 2026, 7:13 p.m.
Created at: April 8, 2026, 9:56 p.m.