Triple

T7355106
Position Surface form Disambiguated ID Type / Status
Subject Passenger 57 E169602 entity
Predicate screenwriter P2831 FINISHED
Object Dan Gordon E278579 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: Dan Gordon | Statement: [Passenger 57, screenwriter, Dan Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Gordon
Context triple: [Passenger 57, screenwriter, Dan Gordon]
  • A. Dan Gordon chosen
    Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
  • B. Dan Gordon
    Dan Gordon is a New Zealand local government leader who serves as the mayor of the Waimakariri District in the Canterbury region.
  • C. Nick Gordon
    Nick Gordon was the former boyfriend of Bobbi Kristina Brown who became widely known due to his controversial involvement in the circumstances surrounding her hospitalization and death.
  • D. Gordon Dean
    Gordon Dean was an American lawyer and government official best known for leading U.S. nuclear policy and weapons development as chairman of the Atomic Energy Commission in the early Cold War era.
  • E. Mark Gordon
    Mark Gordon is an American film and television producer known for his work on major projects such as "Saving Private Ryan," "Speed," and the series "Grey's Anatomy."
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810d0aebc8190a7274fbcd3fe11ff completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:05 p.m.