Triple

T2070615
Position Surface form Disambiguated ID Type / Status
Subject Kong: Skull Island E44807 entity
Predicate screenwriter P2831 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: [Kong: Skull Island, screenwriter, Max Borenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Borenstein
Context triple: [Kong: Skull Island, screenwriter, 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. Howard Kurtz
    Howard Kurtz is an American journalist and media critic best known for hosting media analysis programs on Fox News and CNN and for his long-running media column in The Washington Post.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f677108190aea3c8db7850c892 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aea7f58819081790c08791a5841 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:41 p.m.