Triple

T19504322
Position Surface form Disambiguated ID Type / Status
Subject Apple September 2022 event E487979 entity
Predicate presenter P83 FINISHED
Object Jeff Williams 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: Jeff Williams | Statement: [Apple September 2022 event, presenter, Jeff Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Williams
Context triple: [Apple September 2022 event, presenter, Jeff Williams]
  • A. Jeff Williams chosen
    Jeff Williams is an American technology executive who serves as Apple's Chief Operating Officer and a key leader in the development and launch of major Apple products.
  • B. Brad Williams
    Brad Williams is a central character on the sitcom "Happy Endings," known for his upbeat personality, competitive nature, and loving marriage to Jane Kerkovich-Williams.
  • C. Steve Williams
    Steve Williams is a dim-witted yet overconfident park ranger and one of the central comedic protagonists in the animated television series "Brickleberry."
  • D. Donald Williams
    Donald Williams is a former University of North Carolina basketball guard best known for leading the Tar Heels to the 1993 NCAA championship with clutch three-point shooting.
  • E. Dave Williams
    Dave Williams is a former American football player best known for his role as a standout running back and return specialist in the World Football League and the NFL.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635105db8819084915dc2d047188d completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.