Triple

T15977222
Position Surface form Disambiguated ID Type / Status
Subject Ana de Armas E387478 entity
Predicate workedWith P398 FINISHED
Object Rian Johnson E141144 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: Rian Johnson | Statement: [Ana de Armas, workedWith, Rian Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rian Johnson
Context triple: [Ana de Armas, workedWith, Rian Johnson]
  • A. Rian Johnson chosen
    Rian Johnson is an American filmmaker known for his inventive, genre-bending movies such as "Brick," "Looper," and "Knives Out," as well as directing "Star Wars: The Last Jedi."
  • B. Scott Z. Burns
    Scott Z. Burns is an American screenwriter, director, and producer known for socially conscious films such as Contagion, The Informant!, and The Report.
  • C. Josh Trank
    Josh Trank is an American filmmaker best known for directing the found-footage superhero film "Chronicle" and the 2015 reboot of "Fantastic Four."
  • D. John Karlen
    John Karlen was an American character actor best known for his roles in the gothic soap opera "Dark Shadows" and the crime drama series "Cagney & Lacey."
  • E. J. J. Abrams
    J. J. Abrams is an American filmmaker, producer, and screenwriter known for creating and directing major science fiction and action franchises such as Lost, Star Trek, and Star Wars: The Force Awakens.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8e4124819084c2937f532f5ab5 completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.