Triple

T14989026
Position Surface form Disambiguated ID Type / Status
Subject To Sleep with Anger E373782 entity
Predicate castMember P1668 FINISHED
Object Carl Lumbly E677618 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: Carl Lumbly | Statement: [To Sleep with Anger, castMember, Carl Lumbly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Lumbly
Context triple: [To Sleep with Anger, castMember, Carl Lumbly]
  • A. Carl Lumbly chosen
    Carl Lumbly is an American actor best known for his roles in the TV series "Alias," the film "Men of Honor," and for voicing Martian Manhunter in various DC Comics adaptations.
  • B. Robert Joy
    Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
  • C. Paul Winfield
    Paul Winfield was an American actor known for his powerful performances in film and television, including acclaimed roles in works like "Sounder" and "The Terminator."
  • D. Richard Olney
    Richard Olney was an American statesman and lawyer who served as U.S. Attorney General and Secretary of State under President Grover Cleveland.
  • E. Martin Balsam
    Martin Balsam was an American character actor known for his versatile supporting roles in classic films such as "Psycho," "12 Angry Men," and "A Thousand Clowns," for which he won an Academy Award.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef603b788190ad747d73af2363d4 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 2:53 a.m.