Triple

T14807194
Position Surface form Disambiguated ID Type / Status
Subject The Yards E348067 entity
Predicate editedBy P1954 FINISHED
Object Jeffrey Ford E199161 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: Jeffrey Ford | Statement: [The Yards, editedBy, Jeffrey Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Ford
Context triple: [The Yards, editedBy, Jeffrey Ford]
  • A. Jeffrey Ford chosen
    Jeffrey Ford is a film editor known for his work on major blockbuster movies, including several entries in the Marvel Cinematic Universe.
  • B. Tim Lebbon
    Tim Lebbon is a British horror and dark fantasy author known for his original novels and film tie-in works, including the story that inspired the film "The Silence."
  • C. Brian Hartnett
    Brian Hartnett is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hartnett surname.
  • D. Jeff Pearlman
    Jeff Pearlman is an American sportswriter and author best known for his deeply reported, often controversial biographies of major sports figures and teams, including the Los Angeles Lakers dynasty that inspired the series "Winning Time."
  • E. F. Paul Wilson
    F. Paul Wilson is an American author best known for his science fiction, horror, and thriller novels, including the "Repairman Jack" series.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:41 a.m.