Triple

T22593961
Position Surface form Disambiguated ID Type / Status
Subject William Nack E574622 entity
Predicate name P16 FINISHED
Object William Nack 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: William Nack | Statement: [William Nack, name, William Nack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Nack
Context triple: [William Nack, name, William Nack]
  • A. William Nack chosen
    William Nack was an American sportswriter and author best known for his definitive biography of the racehorse Secretariat.
  • B. Don George
    Don George was an American lyricist best known for writing popular songs and collaborating with prominent composers in the mid-20th century.
  • C. Phil Rose
    Phil Rose is an artist known for creating cover artwork, including the cover for Michael Connelly’s novel "Void Moon."
  • D. Jack Telnack
    Jack Telnack is an influential American automotive designer best known for leading Ford’s global design direction in the late 20th century, including several groundbreaking aerodynamic production cars.
  • E. Doug Belote
    Doug Belote is an American drummer known for his versatile work in jazz, rock, and fusion settings, including collaborations with prominent improvisational and jam-scene artists.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.