Triple

T9110733
Position Surface form Disambiguated ID Type / Status
Subject Black-ish E218594 entity
Predicate starring P1507 FINISHED
Object Anthony Anderson E166988 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: Anthony Anderson | Statement: [Black-ish, starring, Anthony Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Anderson
Context triple: [Black-ish, starring, Anthony Anderson]
  • A. Anthony Anderson chosen
    Anthony Anderson is an American actor and comedian known for his roles in film and television, including the hit sitcom "Black-ish."
  • B. Mark Curtis
    Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
  • C. Rick Leary
    Rick Leary is a Canadian public transit executive who serves as the chief executive officer of the Toronto Transit Commission, overseeing the city’s bus, streetcar, and subway operations.
  • D. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • E. John Corbett
    John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca847102881908f9d86ce9883fb1a completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b194f6e48190ae7e9afa4e2cc912 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:16 p.m.