Triple

T21188966
Position Surface form Disambiguated ID Type / Status
Subject Michael Dorman E522161 entity
Predicate notableWork P4 FINISHED
Object Patriot 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: Patriot | Statement: [Michael Dorman, notableWork, Patriot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patriot
Context triple: [Michael Dorman, notableWork, Patriot]
  • A. Patriot
    Patriot is the nickname for the VH-92A, a U.S. Marine Corps variant of the Sikorsky S-92 helicopter used for presidential transport.
  • B. Patriot
    Patriot is a U.S.-designed, long-range, surface-to-air missile defense system widely used by allied nations to intercept aircraft, cruise missiles, and ballistic missiles.
  • C. Patriot chosen
    Patriot is a darkly comedic espionage television series following an intelligence officer whose undercover job at a Midwestern industrial piping firm complicates his already precarious mental state.
  • D. Patriot
    Patriot is a steel floorless roller coaster at California’s Great America known for its inversions and smooth, looping layout.
  • E. Patriot
    Patriot is a character from the children's game Cooties, typically depicted as a playful, patriotic-themed figure within the game's imaginative cast.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733350e588190a31467758a8afa5c completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.