Triple

T7630936
Position Surface form Disambiguated ID Type / Status
Subject Rules of Engagement E172756 entity
Predicate starring P1507 FINISHED
Object Blair Underwood E567900 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: Blair Underwood | Statement: [Rules of Engagement, starring, Blair Underwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blair Underwood
Context triple: [Rules of Engagement, starring, Blair Underwood]
  • A. Blair Underwood chosen
    Blair Underwood is an American actor known for his versatile performances in television, film, and theater, including acclaimed dramatic roles.
  • B. Eriq La Salle
    Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
  • C. Alexis Denisof
    Alexis Denisof is an American actor best known for his role as Wesley Wyndam-Pryce in the television series "Buffy the Vampire Slayer" and its spin-off "Angel."
  • D. Timothy Busfield
    Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
  • E. Jeffrey Donovan
    Jeffrey Donovan is an American actor best known for starring as Michael Westen in the television series "Burn Notice" and appearing in films such as "Sicario" and its sequel.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa85c57c8190acfd33e0c890c2f9 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870b3984c8190b16a49415556a27d completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:56 p.m.