Triple

T15578576
Position Surface form Disambiguated ID Type / Status
Subject Pan (2015 film) E374433 entity
Predicate producer P490 FINISHED
Object Greg Berlanti E403867 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: Greg Berlanti | Statement: [Pan (2015 film), producer, Greg Berlanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Berlanti
Context triple: [Pan (2015 film), producer, Greg Berlanti]
  • A. Greg Berlanti chosen
    Greg Berlanti is an American writer, director, and prolific television producer best known for creating and producing numerous hit series across superhero, drama, and teen genres.
  • B. Mark Burg
    Mark Burg is an American film and television producer best known for his work on projects like the "Saw" horror franchise and various successful Hollywood films.
  • C. Jason Katims
    Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
  • D. Peter Silverman
    Peter Silverman is a screenwriter best known for his work on the film "American Heart."
  • E. Steve Golin
    Steve Golin was an American film and television producer and founder of the production company Anonymous Content, known for backing acclaimed projects such as "Spotlight," "Eternal Sunshine of the Spotless Mind," and numerous award-winning TV series.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.