Triple

T14225547
Position Surface form Disambiguated ID Type / Status
Subject Chuck Mitchell E352607 entity
Predicate portrayedBy P1507 FINISHED
Object James Pickens Jr. E70859 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: James Pickens Jr. | Statement: [Chuck Mitchell, portrayedBy, James Pickens Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Pickens Jr.
Context triple: [Chuck Mitchell, portrayedBy, James Pickens Jr.]
  • A. James Pickens Jr. chosen
    James Pickens Jr. is an American actor best known for his long-running role as Dr. Richard Webber on the television series "Grey's Anatomy."
  • B. Harold Perrineau
    Harold Perrineau is an American actor best known for his roles in the television series "Lost" and "Oz," as well as numerous film and stage performances.
  • C. Claude Pickens
    Claude Pickens was an American missionary and photographer known for his extensive documentation of Muslim communities in northwest China during the early 20th century.
  • D. 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.
  • E. Gil Birmingham
    Gil Birmingham is an American actor known for his powerful supporting roles in film and television, including prominent appearances in series like Yellowstone and the Twilight Saga films.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281611b48190b787e38ba9c733a4 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.