Triple

T14243594
Position Surface form Disambiguated ID Type / Status
Subject Gina Taylor-Pickens E353072 entity
Predicate relative P37 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: [Gina Taylor-Pickens, relative, James Pickens Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Pickens Jr.
Context triple: [Gina Taylor-Pickens, relative, 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1081148190b8830615a34711c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:08 a.m.