Triple

T13870954
Position Surface form Disambiguated ID Type / Status
Subject Timecop E333447 entity
Predicate screenwriter P2831 FINISHED
Object Mike Richardson E107696 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: Mike Richardson | Statement: [Timecop, screenwriter, Mike Richardson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Richardson
Context triple: [Timecop, screenwriter, Mike Richardson]
  • A. Mike Richardson chosen
    Mike Richardson is an American comic book publisher and film producer best known as the founder of Dark Horse Comics and for producing numerous comic-based films and television projects.
  • B. Mike Richardson
    Mike Richardson is a former NFL cornerback best known for playing with the Chicago Bears during their dominant mid-1980s era, including their Super Bowl XX championship season.
  • C. Mike Mitchell
    Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
  • D. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • E. Michael Tucker
    Michael Tucker is an American actor best known for his work in film, television, and theater, including roles in projects like the Woody Allen film "Radio Days" and the TV series "L.A. Law."
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd192b5e508190b2d385657f9e358f completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:14 p.m.