Triple

T16073136
Position Surface form Disambiguated ID Type / Status
Subject Jason Friedberg E389913 entity
Predicate hasWritten P2831 FINISHED
Object Disaster Movie E83328 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: Disaster Movie | Statement: [Jason Friedberg, hasWritten, Disaster Movie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disaster Movie
Context triple: [Jason Friedberg, hasWritten, Disaster Movie]
  • A. Disaster Movie chosen
    Disaster Movie is a 2008 parody film that satirizes popular blockbuster movies and pop culture through a series of loosely connected comedic sketches.
  • B. Disaster
    "Disaster" is a notable work by the artist JoJo, recognized as part of her musical catalog.
  • C. Geostorm
    Geostorm is a 2017 science fiction disaster film about a malfunctioning climate-controlling satellite system that triggers catastrophic global weather events.
  • D. Master of Disaster
    "Master of Disaster" is the famous nickname of film and television producer Irwin Allen, renowned for his big-budget 1970s disaster movies such as The Poseidon Adventure and The Towering Inferno.
  • E. Bean: The Ultimate Disaster Movie
    Bean: The Ultimate Disaster Movie is a 1997 British-American comedy film starring Rowan Atkinson as the bumbling Mr. Bean, whose chaotic misadventures wreak havoc during a trip to Los Angeles.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00077efdf48190ac26f433f6b17dbe completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:57 a.m.