Triple

T23326531
Position Surface form Disambiguated ID Type / Status
Subject Smokey and the Bandit E591308 entity
Predicate starring P1507 FINISHED
Object Mike Henry 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: Mike Henry | Statement: [Smokey and the Bandit, starring, Mike Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Henry
Context triple: [Smokey and the Bandit, starring, Mike Henry]
  • A. Mike Henry
    Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
  • B. Mike Henry chosen
    Mike Henry is an American actor and former NFL linebacker best known for playing Tarzan in a series of 1960s films.
  • C. John Corbett
    John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
  • D. Jeff Bennett
    Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
  • E. Kevin Nealon
    Kevin Nealon is an American comedian and actor best known for his long-running tenure on "Saturday Night Live" and his roles in numerous comedy films and television series.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197eaa7b88190aad2096c110dadea completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:12 p.m.