Triple

T18821139
Position Surface form Disambiguated ID Type / Status
Subject No Mercy (1986 film) E460265 entity
Predicate writer P1360 FINISHED
Object James Carabatsos 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: James Carabatsos | Statement: [No Mercy (1986 film), writer, James Carabatsos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Carabatsos
Context triple: [No Mercy (1986 film), writer, James Carabatsos]
  • A. James Carabatsos chosen
    James Carabatsos is an American screenwriter best known for his work on Vietnam War films, including the 1987 movie "Hamburger Hill."
  • B. Ron Karabatsos
    Ron Karabatsos was an American character actor known for his tough-guy roles in film and television during the 1980s and 1990s.
  • C. Robert Drivas
    Robert Drivas was an American actor and director best known for his character roles in film, television, and theater during the 1960s and 1970s.
  • D. Anthony Tambakis
    Anthony Tambakis is an American screenwriter best known for co-writing the acclaimed mixed martial arts drama film "Warrior" (2011).
  • E. Gregory Markopoulos
    Gregory Markopoulos was an influential American avant-garde filmmaker whose highly personal, formally radical works helped shape the development of experimental and underground cinema in the mid-20th century.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6ba90988190a93e1c2fa23b3d1d completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.