Triple

T18334580
Position Surface form Disambiguated ID Type / Status
Subject Kindergarten Cop 2 E439236 entity
Predicate cinematographyBy P1953 FINISHED
Object Michael Wale
Michael Wale is a Canadian cinematographer known for his work on films and television series, including the action-comedy sequel "Kindergarten Cop 2."
E1318985 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 Wale | Statement: [Kindergarten Cop 2, cinematographyBy, Michael Wale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Wale
Context triple: [Kindergarten Cop 2, cinematographyBy, Michael Wale]
  • A. Michael Wells
    Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
  • B. Michael Wells
    Michael Wells is best known as the husband of acclaimed British actress Susannah York.
  • C. Michael Boon
    Michael Boon is an artist best known for his creative work on the video game Call of Duty 2.
  • D. Michael Mishaw
    Michael Mishaw is a vocalist and musician best known for his tenure as a member of the pop-soul vocal group The 5th Dimension.
  • E. Michael Watts
    Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
  • 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 Wale
Triple: [Kindergarten Cop 2, cinematographyBy, Michael Wale]
Generated description
Michael Wale is a Canadian cinematographer known for his work on films and television series, including the action-comedy sequel "Kindergarten Cop 2."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Wale
Target entity description: Michael Wale is a Canadian cinematographer known for his work on films and television series, including the action-comedy sequel "Kindergarten Cop 2."
  • A. Michael Wells
    Michael Wells is best known as the husband of acclaimed British actress Susannah York.
  • B. Michael Wells
    Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
  • C. Michael Boon
    Michael Boon is an artist best known for his creative work on the video game Call of Duty 2.
  • D. Michael Mishaw
    Michael Mishaw is a vocalist and musician best known for his tenure as a member of the pop-soul vocal group The 5th Dimension.
  • E. Michael Watts
    Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
  • 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.