Triple

T10452646
Position Surface form Disambiguated ID Type / Status
Subject The Woman Who Cooked Her Husband E246467 entity
Predicate hasCharacter P2308 FINISHED
Object Hilary
Hilary is a central character in Debbie Isitt’s darkly comic play "The Woman Who Cooked Her Husband," which explores themes of marital betrayal and revenge.
 E866109 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: Hilary | Statement: [The Woman Who Cooked Her Husband, hasCharacter, Hilary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hilary
Context triple: [The Woman Who Cooked Her Husband, hasCharacter, Hilary]
  • A. Hilary
    Hilary is a given name most notably borne by the influential American philosopher Hilary Putnam.
  • B. Hillary
    Hillary is a surname most prominently associated with New Zealand mountaineer Sir Edmund Hillary and his family, including his son Peter Hillary.
  • C. Hillary Clinton
    Hillary Clinton is an American politician and diplomat who served as U.S. Secretary of State, U.S. senator from New York, First Lady, and the first woman to be a major party’s presidential nominee.
  • D. Michelle
    Michelle is a Fossil Group watch and accessories brand known for its fashion-forward, feminine designs and luxury-inspired styling.
  • E. Michelle
    Michelle is the resourceful and determined protagonist of the psychological thriller film "10 Cloverfield Lane."
  • 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: Hilary
Triple: [The Woman Who Cooked Her Husband, hasCharacter, Hilary]
Generated description
Hilary is a central character in Debbie Isitt’s darkly comic play "The Woman Who Cooked Her Husband," which explores themes of marital betrayal and revenge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hilary
Target entity description: Hilary is a central character in Debbie Isitt’s darkly comic play "The Woman Who Cooked Her Husband," which explores themes of marital betrayal and revenge.
  • A. Hilary
    Hilary is a given name most notably borne by the influential American philosopher Hilary Putnam.
  • B. Hillary
    Hillary is a surname most prominently associated with New Zealand mountaineer Sir Edmund Hillary and his family, including his son Peter Hillary.
  • C. Hillary Clinton
    Hillary Clinton is an American politician and diplomat who served as U.S. Secretary of State, U.S. senator from New York, First Lady, and the first woman to be a major party’s presidential nominee.
  • D. Michelle
    Michelle is the resourceful and determined protagonist of the psychological thriller film "10 Cloverfield Lane."
  • E. Michelle
    Michelle is a common given name, typically the feminine form of Michael, used in many English- and French-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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0b7bb481908182c7b9a80af3b3 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fb27f5081909e78bd8029e65948 completed April 10, 2026, 6:58 a.m.
NEDg Description generation batch_69d8a43ae8a48190b1c05b6a91dfed9a completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8b8fe1b9c8190b5a4787797ad7120 completed April 10, 2026, 8:46 a.m.
Created at: April 6, 2026, 12:17 p.m.