Triple

T12424857
Position Surface form Disambiguated ID Type / Status
Subject The Mechanic E296870 entity
Predicate producer P490 FINISHED
Object Ted Richmond E513726 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: Ted Richmond | Statement: [The Mechanic, producer, Ted Richmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Richmond
Context triple: [The Mechanic, producer, Ted Richmond]
  • A. Ted Richmond chosen
    Ted Richmond was an American film producer active in mid-20th-century Hollywood, known for working on a variety of studio features and genre films.
  • B. Charlie Drayton
    Charlie Drayton is an American drummer, bassist, and producer known for his versatile session work with major rock and pop artists and for performing in Bob Dylan’s touring band.
  • C. Frank Richards
    Frank Richards was a British soldier and memoirist best known for his vivid first-hand accounts of World War I service in the Royal Welch Fusiliers.
  • D. Charlie Haggers
    Charlie Haggers is a recurring character on the satirical 1970s television soap opera "Mary Hartman, Mary Hartman," known for his involvement in the show's darkly comedic small-town dramas.
  • E. Steve Richards
    Steve Richards is a film producer known for his work on action and genre movies, including the 2010 adaptation of "The Losers."
  • 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_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349716fc8190997b54a50d29827a completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.