Triple

T22234678
Position Surface form Disambiguated ID Type / Status
Subject Randall Mays E549560 entity
Predicate name P16 FINISHED
Object Randall Mays 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: Randall Mays | Statement: [Randall Mays, name, Randall Mays]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randall Mays
Context triple: [Randall Mays, name, Randall Mays]
  • A. Randall Mays chosen
    Randall Mays is an American businessman best known for his leadership roles in Clear Channel Communications, the media company co-founded by his father, Lowry Mays.
  • B. Ned Jarrett
    Ned Jarrett is a retired American NASCAR driver and two-time Grand National Series champion, widely regarded as one of stock car racing’s early stars.
  • C. Davey Allison
    Davey Allison was an American NASCAR driver and member of the famed Alabama Gang, known for his success in the late 1980s and early 1990s before his career was cut short by a fatal helicopter crash.
  • D. Gator Bodine
    Gator Bodine is a violent meth-dealing antagonist in the action thriller film "Homefront," known for clashing with the protagonist in a small Louisiana town.
  • E. Randall Sommer
    Randall Sommer is an American attorney and former actor best known as the husband of actress Marin Hinkle.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf61504819093e70bee4c575d1c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.