Triple

T18548360
Position Surface form Disambiguated ID Type / Status
Subject Jeff Fahey E453295 entity
Predicate hasWorkedWith P9615 FINISHED
Object Matthew Fox NE NERFINISHED

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: Matthew Fox | Statement: [Jeff Fahey, hasWorkedWith, Matthew Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Fox
Context triple: [Jeff Fahey, hasWorkedWith, Matthew Fox]
  • A. Matthew Fox chosen
    Matthew Fox is an American actor best known for his leading role as Jack Shephard on the television series "Lost" and for appearances in films such as "Smokin' Aces."
  • B. Gregory Reeves
    Gregory Reeves is the introspective, spiritually searching protagonist of Isabel Allende’s novel "The Infinite Plan," whose life story explores identity, trauma, and the pursuit of meaning in mid-20th-century America.
  • C. Rob Morrow
    Rob Morrow is an American actor best known for his roles in the television series "Northern Exposure" and "Numb3rs."
  • D. Michael Shanks
    Michael Shanks is a Canadian actor best known for his role as Dr. Daniel Jackson on the science fiction television series Stargate SG-1.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.