Triple

T3527363
Position Surface form Disambiguated ID Type / Status
Subject Michael Cuesta E74572 entity
Predicate name P16 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: [Michael Cuesta, name, Michael Cuesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cuesta
Context triple: [Michael Cuesta, name, 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. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • C. 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.
  • D. Chris Weitz
    Chris Weitz is an American filmmaker, screenwriter, and producer known for directing films such as "About a Boy" and "The Golden Compass" and for co-directing "American Pie."
  • E. Alex Gansa
    Alex Gansa is an American television writer and producer best known for co-creating and showrunning the acclaimed political thriller series "Homeland."
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6d099c8190b2b1e65a56e52089 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e90e67c81909944bb81d89e039b completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.