Triple

T11345450
Position Surface form Disambiguated ID Type / Status
Subject Prisoners of War E268700 entity
Predicate director P255 FINISHED
Object Gideon Raff E268706 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: Gideon Raff | Statement: [Prisoners of War, director, Gideon Raff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gideon Raff
Context triple: [Prisoners of War, director, Gideon Raff]
  • A. Gideon Raff chosen
    Gideon Raff is an Israeli film and television director, screenwriter, and producer best known for creating the series "Prisoners of War," which inspired the American show "Homeland."
  • B. Gideon Gartner
    Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
  • C. Gideon Porath
    Gideon Porath is a cinematographer best known for his work on the 1996 television film "Doctor Who: The Movie."
  • D. Gideon Shryock
    Gideon Shryock was a prominent 19th-century American architect known for introducing the Greek Revival style to public buildings in Kentucky.
  • E. Raynold Gideon
    Raynold Gideon is a film producer and screenwriter best known for his work on popular Hollywood movies such as "Turner & Hooch" and "Stand by Me."
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55649a9188190911608fef5894bd8 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.