Triple

T9660882
Position Surface form Disambiguated ID Type / Status
Subject Drowning by Numbers E233585 entity
Predicate character P662 FINISHED
Object Madgett
Madgett is a coroner character in Peter Greenaway’s darkly comic film "Drowning by Numbers," known for his morbid storytelling and involvement in the film’s intricate games surrounding death.
 E812762 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: Madgett | Statement: [Drowning by Numbers, character, Madgett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madgett
Context triple: [Drowning by Numbers, character, Madgett]
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • C. Crossfield
    Crossfield is a surname most notably associated with Scott Crossfield, a pioneering American test pilot and aeronautical engineer.
  • D. Cleghorn
    Cleghorn is a residential neighborhood within the city of Fitchburg, Massachusetts.
  • E. Hagerman
    Hagerman is a small town in southeastern New Mexico, known for its agricultural community and location along the Pecos River.
  • 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: Madgett
Triple: [Drowning by Numbers, character, Madgett]
Generated description
Madgett is a coroner character in Peter Greenaway’s darkly comic film "Drowning by Numbers," known for his morbid storytelling and involvement in the film’s intricate games surrounding death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madgett
Target entity description: Madgett is a coroner character in Peter Greenaway’s darkly comic film "Drowning by Numbers," known for his morbid storytelling and involvement in the film’s intricate games surrounding death.
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • C. Crossfield
    Crossfield is a surname most notably associated with Scott Crossfield, a pioneering American test pilot and aeronautical engineer.
  • D. Cleghorn
    Cleghorn is a residential neighborhood within the city of Fitchburg, Massachusetts.
  • E. Hagerman
    Hagerman is a small town in southeastern New Mexico, known for its agricultural community and location along the Pecos River.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0a15e4819092ea0fb2cb6e1c12 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0ff7548190ae438c4a334058ac completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18a8e0fbc8190912439815bab4677 completed April 4, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69d18afe54c88190846a873443aa56ef completed April 4, 2026, 10:04 p.m.
Created at: March 30, 2026, 8:14 p.m.