Triple

T11447051
Position Surface form Disambiguated ID Type / Status
Subject Heaven Knows What E271291 entity
Predicate editedBy P1954 FINISHED
Object Ben Safdie E55948 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: Ben Safdie | Statement: [Heaven Knows What, editedBy, Ben Safdie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Safdie
Context triple: [Heaven Knows What, editedBy, Ben Safdie]
  • A. Josh Safdie
    Josh Safdie is an American filmmaker best known for co-directing gritty, anxiety-inducing independent films such as "Good Time" and "Uncut Gems" with his brother Benny Safdie.
  • B. Benny Safdie chosen
    Benny Safdie is an American filmmaker and actor best known as one half of the Safdie brothers, the directing duo behind intense, critically acclaimed films like "Good Time" and "Uncut Gems."
  • C. Meredith Mickelson Safdie
    Meredith Mickelson Safdie is an American fashion model and social media personality who is married to filmmaker and actor Benny Safdie.
  • D. Jonathan Baumbach
    Jonathan Baumbach was an American novelist, short story writer, and film critic associated with postmodern literature and the independent film community.
  • E. Jeremy Leven
    Jeremy Leven is an American screenwriter, director, and novelist known for adapting romantic and character-driven stories for film, including the hit movie "The Notebook."
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7133d88190813a1e74ef310993 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:35 p.m.