Triple

T23384463
Position Surface form Disambiguated ID Type / Status
Subject Marko Ramius E593838 entity
Predicate commands P2333 FINISHED
Object Red October 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: Red October | Statement: [Marko Ramius, commands, Red October]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red October
Context triple: [Marko Ramius, commands, Red October]
  • A. The Hunt for Red October chosen
    The Hunt for Red October is a 1990 Cold War submarine thriller film, based on Tom Clancy’s novel, that follows a Soviet captain’s attempted defection to the United States with a cutting-edge nuclear submarine.
  • B. Red October factory
    The Red October factory is a historic Russian industrial plant best known for its production of confectionery, particularly chocolate, and its role in the country’s industrial heritage.
  • C. Crimson Tide
    Crimson Tide is the name of the University of Alabama’s famed collegiate athletic program, especially known for its powerhouse football team.
  • D. Crimson Tide
    Crimson Tide is a 1995 American submarine thriller film directed by Tony Scott, starring Denzel Washington and Gene Hackman in a tense Cold War-era nuclear standoff.
  • E. Red Storm Rising
    Red Storm Rising is a 1986 techno-thriller novel by Tom Clancy that depicts a large-scale conventional war between NATO and the Soviet Union in the late Cold War era.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a497661c8190b52fa27419594989 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:34 p.m.