Triple

T16504237
Position Surface form Disambiguated ID Type / Status
Subject Walt Willey E400880 entity
Predicate name P16 FINISHED
Object Walt Willey E400880 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: Walt Willey | Statement: [Walt Willey, name, Walt Willey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walt Willey
Context triple: [Walt Willey, name, Walt Willey]
  • A. Walt Willey chosen
    Walt Willey is an American actor best known for his long-running role as attorney Jackson Montgomery on the soap opera "All My Children."
  • B. Buck Weaver
    Buck Weaver was a talented third baseman for the Chicago White Sox who became infamous for his lifetime ban from Major League Baseball due to his alleged involvement in the 1919 Black Sox Scandal.
  • C. Irwin Wade
    Irwin Wade is a fictional World War II combat medic and member of the squad in the film "Saving Private Ryan."
  • D. Walt Mulconery
    Walt Mulconery was a film editor best known for his work on the 1983 dance drama "Flashdance."
  • E. Willard Mackey
    Willard Mackey is an individual significant enough in the field of mechanical engineering to have a named professorship at Johns Hopkins University established in his honor.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758bc924819099f29d01bd8a02a0 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:14 a.m.