Triple

T16879437
Position Surface form Disambiguated ID Type / Status
Subject Black Steel in the Hour of Chaos E421378 entity
Predicate musicVideoDirector P4911 FINISHED
Object Adam Bernstein E780469 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: Adam Bernstein | Statement: [Black Steel in the Hour of Chaos, musicVideoDirector, Adam Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Bernstein
Context triple: [Black Steel in the Hour of Chaos, musicVideoDirector, Adam Bernstein]
  • A. Adam Bernstein chosen
    Adam Bernstein is an American director best known for his work on influential music videos and acclaimed television series such as "Fargo" and "30 Rock."
  • B. Jonathan Bernstein
    Jonathan Bernstein is a screenwriter and author known for his work on family-oriented action-comedy films and various film-related writings.
  • C. Jim Bernstein
    Jim Bernstein is a television writer and producer best known for co-creating the Disney XD superhero-themed comedy series "Mighty Med."
  • D. Michael Bernstein
    Michael Bernstein is a film producer known for his work on the music documentary "Clive Davis: The Soundtrack of Our Lives."
  • E. Steven Bernstein
    Steven Bernstein is a cinematographer and film director known for his work on feature films such as the comedy "White Chicks."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f9aea0819090aef3c0c1ad349d completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b684108190928afb0a2d1af038 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.