Triple

T12425987
Position Surface form Disambiguated ID Type / Status
Subject Rambo (2008 film) E296898 entity
Predicate editedBy P1954 FINISHED
Object Michael John Bateman E521622 NE FINISHED

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 John Bateman | Statement: [Rambo (2008 film), editedBy, Michael John Bateman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael John Bateman
Context triple: [Rambo (2008 film), editedBy, Michael John Bateman]
  • A. Michael John Bateman chosen
    Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
  • B. Nick Bateman
    Nick Bateman is a Canadian actor and model known for his roles in romantic films and his large social media following.
  • C. Tom Bateman
    Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
  • D. Kent Bateman
    Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
  • E. Michael Jessop
    Michael Jessop is a member of the Derby Philosophical Society, a learned society dedicated to scientific and intellectual inquiry in Derby, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af41f6b88190ba3a0b4d531853d7 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:55 p.m.