Triple

T10452645
Position Surface form Disambiguated ID Type / Status
Subject The Woman Who Cooked Her Husband E246467 entity
Predicate hasCharacter P2308 FINISHED
Object Kenneth
Kenneth is a central male character in the darkly comic stage play "The Woman Who Cooked Her Husband," whose infidelity and subsequent fate drive the plot’s themes of betrayal and revenge.
 E863418 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: Kenneth | Statement: [The Woman Who Cooked Her Husband, hasCharacter, Kenneth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenneth
Context triple: [The Woman Who Cooked Her Husband, hasCharacter, Kenneth]
  • A. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • B. Kenneth
    Kenneth is the full given name of American documentary filmmaker Ken Burns, renowned for his in-depth historical films and distinctive storytelling style.
  • C. Kenneth
    Kenneth is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • 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: Kenneth
Triple: [The Woman Who Cooked Her Husband, hasCharacter, Kenneth]
Generated description
Kenneth is a central male character in the darkly comic stage play "The Woman Who Cooked Her Husband," whose infidelity and subsequent fate drive the plot’s themes of betrayal and revenge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenneth
Target entity description: Kenneth is a central male character in the darkly comic stage play "The Woman Who Cooked Her Husband," whose infidelity and subsequent fate drive the plot’s themes of betrayal and revenge.
  • A. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • B. Kenneth
    Kenneth is the full given name of American documentary filmmaker Ken Burns, renowned for his in-depth historical films and distinctive storytelling style.
  • C. Kenneth
    Kenneth is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • 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_69d87f07c9f48190b0fce7740a2e003a completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c562c081908aae846da8efb1a5 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:17 p.m.