Triple

T20183370
Position Surface form Disambiguated ID Type / Status
Subject Some Kind of Wonderful E492789 entity
Predicate editor P1954 FINISHED
Object Bud S. Smith NE NERFINISHED

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: Bud S. Smith | Statement: [Some Kind of Wonderful, editor, Bud S. Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bud S. Smith
Context triple: [Some Kind of Wonderful, editor, Bud S. Smith]
  • A. Bud S. Smith chosen
    Bud S. Smith is an American film editor best known for his work on influential films such as "The Exorcist" and "Sorcerer."
  • B. Burrell Smith
    Burrell Smith is an American hardware engineer best known for designing the original Macintosh computer’s digital board as part of Apple’s pioneering Macintosh team in the early 1980s.
  • C. Frank L. Smith
    Frank L. Smith was an American politician and businessman from Illinois who served in the U.S. House of Representatives in the early 20th century.
  • D. Paul L. Smith
    Paul L. Smith was an American character actor known for his imposing build and villainous roles in films such as "Popeye," "Midnight Express," and "Dune."
  • E. Jerry Smith
    Jerry Smith is an American soccer coach best known for his long tenure leading the Santa Clara University women's soccer program.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.