Triple

T2344359
Position Surface form Disambiguated ID Type / Status
Subject Godzilla: King of the Monsters E45096 entity
Predicate storyBy P1955 FINISHED
Object Max Borenstein E224772 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: Max Borenstein | Statement: [Godzilla: King of the Monsters, storyBy, Max Borenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Borenstein
Context triple: [Godzilla: King of the Monsters, storyBy, Max Borenstein]
  • A. Max Borenstein chosen
    Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
  • B. Jeff Rosen
    Jeff Rosen is an American music executive and longtime Bob Dylan associate who has overseen and produced numerous Dylan-related projects, including major documentaries and archival releases.
  • C. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • D. Josh Berman
    Josh Berman is an American entrepreneur best known as a co-founder of the pioneering social networking site MySpace.
  • E. Adam Brooks
    Adam Brooks is a Canadian screenwriter and film director known for writing romantic comedies such as Bridget Jones: The Edge of Reason and French Kiss.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6afe38c81909deb1de2a1c4eda9 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b6940f4819094998ddbb62efd19 completed March 9, 2026, 8:19 p.m.
Created at: March 4, 2026, 7:52 p.m.