Triple

T22703908
Position Surface form Disambiguated ID Type / Status
Subject State Property 2 E561394 entity
Predicate castMember P1668 FINISHED
Object Michael Bentt 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: Michael Bentt | Statement: [State Property 2, castMember, Michael Bentt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bentt
Context triple: [State Property 2, castMember, Michael Bentt]
  • A. Michael Bentt chosen
    Michael Bentt is a former British-American professional heavyweight boxer who briefly held the WBO world title before becoming an actor and boxing consultant in film and television.
  • B. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • C. Darrin Bent
    Darrin Bent is a Canadian municipal politician who serves as the mayor of Conception Bay South in Newfoundland and Labrador.
  • D. Mike Burrows
    Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
  • E. Mike Krieger
    Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cca1e48190bbe7910f13692803 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.