Triple

T2316727
Position Surface form Disambiguated ID Type / Status
Subject Dan Mindel E51081 entity
Predicate name P16 FINISHED
Object Dan Mindel E51081 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 Mindel | Statement: [Dan Mindel, name, Dan Mindel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Mindel
Context triple: [Dan Mindel, name, Dan Mindel]
  • A. Dan Mindel chosen
    Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
  • B. Daniel Mandell
    Daniel Mandell was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
  • C. Michael Markowitz
    Michael Markowitz is an American comedy writer best known for co-writing the hit film "Horrible Bosses."
  • D. Dan Shulman
    Dan Shulman is a Canadian sportscaster best known for his long-running play-by-play work on Major League Baseball and college basketball broadcasts for ESPN and other networks.
  • E. Rich Kleiman
    Rich Kleiman is an American sports agent and entrepreneur best known as Kevin Durant’s longtime business partner and co-founder of the sports and entertainment company Boardroom and the investment firm Thirty Five Ventures.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de6f85f88190905882d24cc51c2d completed March 11, 2026, 9:28 p.m.
Created at: March 4, 2026, 7:49 p.m.