Triple

T4371539
Position Surface form Disambiguated ID Type / Status
Subject John Larroquette E98907 entity
Predicate characterPortrayed P1507 FINISHED
Object Dan Fielding
Dan Fielding is a lecherous yet sharp-tongued prosecutor from the sitcom "Night Court," best known for his womanizing ways and sarcastic wit.
 E436300 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: Dan Fielding | Statement: [John Larroquette, characterPortrayed, Dan Fielding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Fielding
Context triple: [John Larroquette, characterPortrayed, Dan Fielding]
  • A. David Pegg
    David Pegg was an English footballer who played as a left winger for Manchester United's famed "Busby Babes" before his life was tragically cut short in the Munich air disaster of 1958.
  • B. Derek Twigg
    Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
  • C. Roger Davies
    Roger Davies is an actor known for his role in the science fiction horror film "The Cloverfield Paradox."
  • D. David Blunt
    David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
  • E. Simon Dutton
    Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
  • 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: Dan Fielding
Triple: [John Larroquette, characterPortrayed, Dan Fielding]
Generated description
Dan Fielding is a lecherous yet sharp-tongued prosecutor from the sitcom "Night Court," best known for his womanizing ways and sarcastic wit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Fielding
Target entity description: Dan Fielding is a lecherous yet sharp-tongued prosecutor from the sitcom "Night Court," best known for his womanizing ways and sarcastic wit.
  • A. David Pegg
    David Pegg was an English footballer who played as a left winger for Manchester United's famed "Busby Babes" before his life was tragically cut short in the Munich air disaster of 1958.
  • B. Derek Twigg
    Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
  • C. Roger Davies
    Roger Davies is an actor known for his role in the science fiction horror film "The Cloverfield Paradox."
  • D. David Blunt
    David Blunt is a British football executive best known for serving as chairman of Doncaster Rovers Football Club.
  • E. Simon Dutton
    Simon Dutton is a British actor best known for playing Simon Templar in the late-1980s television films of "The Saint."
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521dffbc8190b9300a7f4f64bdc0 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeadd68881909820a75aaff9d8d5 completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef36f2bc8190a21e0f2fadbdd697 completed March 14, 2026, 11:28 p.m.
Created at: March 12, 2026, 11:17 p.m.