Triple

T23540606
Position Surface form Disambiguated ID Type / Status
Subject David Zayas E577735 entity
Predicate name P16 FINISHED
Object David Zayas NE NERFINISHED

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: David Zayas | Statement: [David Zayas, name, David Zayas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Zayas
Context triple: [David Zayas, name, David Zayas]
  • A. David Zayas chosen
    David Zayas is a Puerto Rican-American actor best known for playing Detective Angel Batista on the television series "Dexter."
  • B. Jaime Carbonell
    Jaime Carbonell was a prominent computer scientist and pioneer in machine learning and natural language processing, best known for founding the Language Technologies Institute at Carnegie Mellon University.
  • C. Jaime Pressly
    Jaime Pressly is an American actress and model best known for her Emmy-winning role as Joy Turner on the television sitcom "My Name Is Earl."
  • D. Jorge Garcia
    Jorge Garcia is an American actor and comedian best known for his role as Hugo "Hurley" Reyes on the television series Lost.
  • E. Kim Rossi Stuart
    Kim Rossi Stuart is an Italian actor and director known for his intense performances in both film and television, including prominent roles in acclaimed Italian crime dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.