Triple

T18334579
Position Surface form Disambiguated ID Type / Status
Subject Kindergarten Cop 2 E439236 entity
Predicate musicBy P1952 FINISHED
Object Michael Richard Plowman
Michael Richard Plowman is a Canadian composer known for his work on film and television scores.
E1318984 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: Michael Richard Plowman | Statement: [Kindergarten Cop 2, musicBy, Michael Richard Plowman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Richard Plowman
Context triple: [Kindergarten Cop 2, musicBy, Michael Richard Plowman]
  • A. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • B. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • C. John Platt
    John Platt was a British politician who served as a Member of Parliament for the Caernarvon Boroughs constituency.
  • D. Michael John Bateman
    Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
  • E. Michael Steadman
    Michael Steadman is a central character on the television drama "thirtysomething," portrayed as a sensitive, idealistic young professional navigating marriage, career, and adulthood in the late 1980s.
  • 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: Michael Richard Plowman
Triple: [Kindergarten Cop 2, musicBy, Michael Richard Plowman]
Generated description
Michael Richard Plowman is a Canadian composer known for his work on film and television scores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Richard Plowman
Target entity description: Michael Richard Plowman is a Canadian composer known for his work on film and television scores.
  • A. Jon Plowman
    Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
  • B. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • C. John Platt
    John Platt was a British politician who served as a Member of Parliament for the Caernarvon Boroughs constituency.
  • D. Michael John Bateman
    Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
  • E. Michael Steadman
    Michael Steadman is a central character on the television drama "thirtysomething," portrayed as a sensitive, idealistic young professional navigating marriage, career, and adulthood in the late 1980s.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4d2db288190b5832978f53265ca completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c8b9d06c8190af9e9121246b7e6f completed May 13, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a03c989741c81908f2a50b571a8c475 completed May 13, 2026, 12:44 a.m.
Created at: April 10, 2026, 10:36 a.m.