Triple

T18267336
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Governor of Tennessee E437516 entity
Predicate currentOfficeHolder P537 FINISHED
Object Randy McNally 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: Randy McNally | Statement: [Lieutenant Governor of Tennessee, currentOfficeHolder, Randy McNally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randy McNally
Context triple: [Lieutenant Governor of Tennessee, currentOfficeHolder, Randy McNally]
  • A. Randy McNally chosen
    Randy McNally is an American Republican politician who serves as the lieutenant governor of Tennessee and presiding officer of the state Senate.
  • B. Randy Turpin
    Randy Turpin was a British middleweight boxing champion best known for his stunning 1951 upset victory over Sugar Ray Robinson.
  • C. Randy Mueller
    Randy Mueller is an American football executive known for serving as a general manager for multiple professional teams, including in the NFL and the Alliance of American Football.
  • D. Randy Friel
    Randy Friel is a musician best known as a member of the alternative rock band Concrete Blonde.
  • E. Randy Miller
    Randy Miller is a film composer best known for scoring movies such as the long-distance running drama "Without Limits."
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7bda5c8190a5a85f3cfb7aa4ef completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.