Triple

T11745485
Position Surface form Disambiguated ID Type / Status
Subject Ed Hoffman E279268 entity
Predicate conflictsWith P4897 FINISHED
Object Roger Ferris E353686 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: Roger Ferris | Statement: [Ed Hoffman, conflictsWith, Roger Ferris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Ferris
Context triple: [Ed Hoffman, conflictsWith, Roger Ferris]
  • A. Roger Ferris chosen
    Roger Ferris is the fictional CIA operative protagonist of the espionage thriller "Body of Lies," known for navigating complex Middle Eastern intelligence operations.
  • B. John Farris
    John Farris is an American novelist and screenwriter best known for his horror and suspense fiction, including the novel that inspired Brian De Palma’s film "The Fury."
  • C. Michael Ferris
    Michael Ferris is an American screenwriter best known for co-writing major studio films such as "Terminator Salvation" and "The Net."
  • D. Roger Toothaker
    Roger Toothaker was a colonial New England healer and folk practitioner who became one of the accused during the Salem witch trials of 1692.
  • E. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716adaed081909a6c026f9e232381 completed May 3, 2026, 9:34 a.m.
Created at: April 8, 2026, 9:41 p.m.