Triple

T20105665
Position Surface form Disambiguated ID Type / Status
Subject Jenny Runacre E490165 entity
Predicate notableWork P4 FINISHED
Object Hussy
Hussy is a 1980 British drama film starring Helen Mirren and Jenny Runacre, set in London’s nightclub scene and centered on a complex romantic and criminal entanglement.
 E1411457 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: Hussy | Statement: [Jenny Runacre, notableWork, Hussy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hussy
Context triple: [Jenny Runacre, notableWork, Hussy]
  • A. Hussey
    Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
  • B. Henchy
    Henchy is a surname most notably associated with American screenwriter and producer Chris Henchy.
  • C. Gussie
    Gussie is a fictional character best known as the hapless young protagonist in P. G. Wodehouse’s comic story “Extricating Young Gussie.”
  • D. Howser
    Howser is a surname most notably associated with Richard Dalton Howser, an American Major League Baseball player and manager.
  • E. Hassie
    Hassie is a given name, often used as a feminine first name in English-speaking countries.
  • 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: Hussy
Triple: [Jenny Runacre, notableWork, Hussy]
Generated description
Hussy is a 1980 British drama film starring Helen Mirren and Jenny Runacre, set in London’s nightclub scene and centered on a complex romantic and criminal entanglement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hussy
Target entity description: Hussy is a 1980 British drama film starring Helen Mirren and Jenny Runacre, set in London’s nightclub scene and centered on a complex romantic and criminal entanglement.
  • A. Hussey
    Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
  • B. Henchy
    Henchy is a surname most notably associated with American screenwriter and producer Chris Henchy.
  • C. Gussie
    Gussie is a fictional character best known as the hapless young protagonist in P. G. Wodehouse’s comic story “Extricating Young Gussie.”
  • D. Howser
    Howser is a surname most notably associated with Richard Dalton Howser, an American Major League Baseball player and manager.
  • E. Hassie
    Hassie is a given name, often used as a feminine first name in English-speaking countries.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dbad30819082454f360f358131 completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082714d6648190bfc4c3ba92b8bd45 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a082915c66881909dadac08ea4b8bd3 completed May 16, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0829a921688190a52538f7537e4ce5 completed May 16, 2026, 8:24 a.m.
Created at: April 11, 2026, 11:28 p.m.