Triple

T14657213
Position Surface form Disambiguated ID Type / Status
Subject Dopesick E344141 entity
Predicate director P255 FINISHED
Object Michael Cuesta E74572 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: Michael Cuesta | Statement: [Dopesick, director, Michael Cuesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cuesta
Context triple: [Dopesick, director, Michael Cuesta]
  • A. Michael Cuesta chosen
    Michael Cuesta is an American film and television director and producer known for his work on series such as Homeland, Dexter, and Six Feet Under.
  • B. Brett Leonard
    Brett Leonard is an American film director and screenwriter best known for pioneering early CGI and virtual reality themes in movies such as "The Lawnmower Man."
  • C. Chris Noonan
    Chris Noonan is an Australian film director best known for helming the acclaimed family film "Babe" and later the biographical drama "Miss Potter."
  • D. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • E. Steven S. DeKnight
    Steven S. DeKnight is an American writer, producer, and director best known for his work on genre television series like Spartacus and Marvel's Daredevil, as well as his feature film directing.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07acd748190b2821dee21ecd740 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.