Triple

T13774719
Position Surface form Disambiguated ID Type / Status
Subject Josh Stewart E330974 entity
Predicate portrayed P1668 FINISHED
Object Arkin E442205 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: Arkin | Statement: [Josh Stewart, portrayed, Arkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkin
Context triple: [Josh Stewart, portrayed, Arkin]
  • A. Arkin chosen
    Arkin is a surname most notably associated with the late American actor and filmmaker Alan Arkin.
  • B. Akin
    Akin is a novel by Irish-Canadian author Emma Donoghue that explores family, memory, and the legacy of World War II through the unexpected relationship between an elderly man and his young great-nephew on a trip to France.
  • C. Arky
    Arky was the nickname of Hall of Fame shortstop Arky Vaughan, one of the premier hitters of Major League Baseball in the 1930s and 1940s.
  • D. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • E. Webling
    Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.