Triple

T3776858
Position Surface form Disambiguated ID Type / Status
Subject Disaster Movie E83328 entity
Predicate writer P1360 FINISHED
Object Jason Friedberg E389913 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: Jason Friedberg | Statement: [Disaster Movie, writer, Jason Friedberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Friedberg
Context triple: [Disaster Movie, writer, Jason Friedberg]
  • A. Jason Friedberg chosen
    Jason Friedberg is an American filmmaker best known for co-writing and co-directing a series of parody films, including titles like "Date Movie," "Epic Movie," and "Disaster Movie."
  • B. Evan Goldberg
    Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
  • C. Jim Abrahams
    Jim Abrahams is an American film director, producer, and screenwriter best known for co-creating the spoof-comedy classics "Airplane!" and "The Naked Gun" series.
  • D. Judd Apatow
    Judd Apatow is an American filmmaker, producer, and writer known for his influential work in modern comedy films and television series such as "The 40-Year-Old Virgin," "Knocked Up," and "Freaks and Geeks."
  • E. David W. Zucker
    David W. Zucker is a television producer known for overseeing high-profile, prestige drama series, including the adaptation of Philip K. Dick’s "The Man in the High Castle."
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503ea77708190ae55cd1892735b22 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:36 p.m.