Triple

T13351568
Position Surface form Disambiguated ID Type / Status
Subject James Faulkner E318079 entity
Predicate notableWork P4 FINISHED
Object Atomic Blonde E50476 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: Atomic Blonde | Statement: [James Faulkner, notableWork, Atomic Blonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atomic Blonde
Context triple: [James Faulkner, notableWork, Atomic Blonde]
  • A. Atomic Blonde chosen
    Atomic Blonde is a 2017 action spy thriller film starring Charlize Theron as a lethal MI6 agent navigating espionage and betrayal in Cold War–era Berlin.
  • B. Blonde
    Blonde is a 2007 pop album by French singer Alizée that marked a stylistic evolution in her music career.
  • C. Blonde
    Blonde is Frank Ocean’s critically acclaimed 2016 studio album that blends R&B, avant-pop, and introspective songwriting.
  • D. Blonde
    Blonde is a 2022 psychological drama film written and directed by Andrew Dominik, loosely adapting Joyce Carol Oates’s novel to present a fictionalized, impressionistic portrayal of Marilyn Monroe’s life and career.
  • E. Blonde Bombshell
    Blonde Bombshell is an alternate title for the 1933 pre-Code Hollywood comedy film "Bombshell," starring Jean Harlow as a harried movie star in a satire of the film industry.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.