Triple

T2232520
Position Surface form Disambiguated ID Type / Status
Subject Blue Collar E49200 entity
Predicate castMember P1668 FINISHED
Object Yaphet Kotto E115658 NE FINISHED

How this triple was built (2 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: Yaphet Kotto | Statement: [Blue Collar, castMember, Yaphet Kotto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaphet Kotto
Context triple: [Blue Collar, castMember, Yaphet Kotto]
  • A. Yaphet Kotto chosen
    Yaphet Kotto was an American actor best known for his powerful performances in films like Alien and Midnight Run and the TV series Homicide: Life on the Street.
  • B. Scott Glenn
    Scott Glenn is an American actor known for his intense, rugged performances in films such as "The Right Stuff," "The Silence of the Lambs," and "Backdraft."
  • C. Richard Crenna
    Richard Crenna was an American actor and director known for his roles in films such as the "Rambo" series and numerous television shows including "The Real McCoys."
  • D. Isiah Whitlock Jr.
    Isiah Whitlock Jr. is an American character actor best known for his distinctive voice and memorable roles in projects like HBO's "The Wire" and numerous Spike Lee films.
  • E. Christopher Walken
    Christopher Walken is an American actor known for his distinctive voice, eccentric screen presence, and memorable roles in films such as "The Deer Hunter," "Pulp Fiction," and "Catch Me If You Can."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc06d26bc8190a85ddb6312d2df08 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f007e988190bb032a39cfea7730 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.