Triple

T9739579
Position Surface form Disambiguated ID Type / Status
Subject Richard Ayoade E236150 entity
Predicate relative P37 FINISHED
Object Edward Fox E11942 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: Edward Fox | Statement: [Richard Ayoade, relative, Edward Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Fox
Context triple: [Richard Ayoade, relative, Edward Fox]
  • A. Edward Fox chosen
    Edward Fox is an English actor renowned for his roles in films such as "The Day of the Jackal" and "A Bridge Too Far."
  • B. David Fox
    David Fox is a game designer and programmer best known for his work at Lucasfilm Games (later LucasArts), including co-creating the influential adventure game Maniac Mansion.
  • C. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • D. David Naughton
    David Naughton is an American actor and singer best known for his lead role in the horror-comedy film "An American Werewolf in London" and for his work in 1970s and 1980s film and television.
  • E. Rufus Sewell
    Rufus Sewell is a British actor known for his intense screen presence and roles in films like "Dark City," "A Knight’s Tale," and numerous period dramas and television 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccbb6988190a3733c97d520be67 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:22 p.m.