Triple

T13709475
Position Surface form Disambiguated ID Type / Status
Subject The Last Innocent Man E328730 entity
Predicate castMember P1668 FINISHED
Object Michael Greene E1007331 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 Greene | Statement: [The Last Innocent Man, castMember, Michael Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Greene
Context triple: [The Last Innocent Man, castMember, Michael Greene]
  • A. Michael Greene chosen
    Michael Greene is an actor best known for his role in the 1985 comedy film "Lost in America."
  • B. Scott Greer
    Scott Greer is an American political commentator and writer known for his nationalist and right-wing perspectives, particularly through his work at outlets like The Daily Caller.
  • C. Philip Dunne
    Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
  • D. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • E. Michael Greenwood
    Michael Greenwood is a member of the Greenwood family, known primarily as a son of British politician Hamar Greenwood, 1st Viscount Greenwood.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d52b3708190ae0945e65b271556 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.