Triple

T17716189
Position Surface form Disambiguated ID Type / Status
Subject Alan Arkin E442205 entity
Predicate familyName P18 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: [Alan Arkin, familyName, Arkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkin
Context triple: [Alan Arkin, familyName, 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47480955481908fa0d3d34aaedd48 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023029aa808190bfacd42036a2f673 completed May 11, 2026, 7:38 p.m.
Created at: April 10, 2026, 10:06 a.m.