Triple

T10445337
Position Surface form Disambiguated ID Type / Status
Subject The Mark Gordon Company E246270 entity
Predicate hasProducer P30366 FINISHED
Object Mark Gordon E207123 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: Mark Gordon | Statement: [The Mark Gordon Company, hasProducer, Mark Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Gordon
Context triple: [The Mark Gordon Company, hasProducer, Mark Gordon]
  • A. Mark Gordon chosen
    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."
  • B. Mark Gordon
    Mark Gordon is a video game developer best known as one of the founders of Treyarch, the studio behind several major Call of Duty titles.
  • C. Dan Gordon
    Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
  • D. Dan Gordon
    Dan Gordon is a New Zealand local government leader who serves as the mayor of the Waimakariri District in the Canterbury region.
  • E. 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.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90d9ed4988190b4fee055eaad39c5 completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:16 p.m.