Triple

T11817270
Position Surface form Disambiguated ID Type / Status
Subject Darryl Philbin E281033 entity
Predicate portrayedBy P1507 FINISHED
Object Craig Robinson E223038 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: Craig Robinson | Statement: [Darryl Philbin, portrayedBy, Craig Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Robinson
Context triple: [Darryl Philbin, portrayedBy, Craig Robinson]
  • A. Craig Robinson chosen
    Craig Robinson is an American actor and comedian best known for his role as warehouse foreman Darryl Philbin on the U.S. version of the television series "The Office."
  • B. Craig Robinson
    Craig Robinson is an American college basketball coach, former player, and sports executive who is also known as the older brother of former First Lady Michelle Obama.
  • C. Anthony Anderson
    Anthony Anderson is an American actor and comedian known for his roles in film and television, including the hit sitcom "Black-ish."
  • D. Joseph Simmons
    Joseph Simmons, better known as Rev Run, is an American rapper, DJ, and founding member of the pioneering hip hop group Run-D.M.C.
  • E. Lee Tergesen
    Lee Tergesen is an American actor best known for his roles in the HBO series "Oz," the film "Wayne's World," and numerous television dramas and miniseries.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131cbf9708190ba8394fb3508b975 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.