Triple

T13594854
Position Surface form Disambiguated ID Type / Status
Subject Bud Fox E324790 entity
Predicate father P120 FINISHED
Object Carl Fox E326171 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: Carl Fox | Statement: [Bud Fox, father, Carl Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Fox
Context triple: [Bud Fox, father, Carl Fox]
  • A. Carl Fox chosen
    Carl Fox is a principled, blue-collar union leader and the morally grounded father of Bud Fox in the film "Wall Street."
  • B. Luther Fox
    Luther Fox is a fictional character from the 2001 drama film "The Man from Elysian Fields," which explores themes of morality, relationships, and personal redemption.
  • C. Nelson Fox
    Nelson Fox is a character in the film "You've Got Mail," known as the father of Joe Fox and a member of the wealthy Fox family that owns a large bookstore chain.
  • D. Ralph Fox
    Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
  • E. John Edward Fox
    John Edward Fox was a British architect best known for designing prominent civic buildings in the late 19th century, including Dewsbury Town Hall.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.