Triple

T21707331
Position Surface form Disambiguated ID Type / Status
Subject Frank Silvera E535803 entity
Predicate name P16 FINISHED
Object Frank Silvera 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: Frank Silvera | Statement: [Frank Silvera, name, Frank Silvera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Silvera
Context triple: [Frank Silvera, name, Frank Silvera]
  • A. Frank Silvera chosen
    Frank Silvera was a Jamaican-born American character actor known for his intense performances in film, television, and theater during the mid-20th century.
  • B. Jake Silverstein
    Jake Silverstein is an American magazine editor and writer best known as the editor-in-chief of The New York Times Magazine.
  • C. Max Silverstein
    Max Silverstein is an individual notable enough to be recognized as a bearer of the Silverstein surname.
  • D. Grant Nieporte
    Grant Nieporte is an American screenwriter best known for writing the drama film "Seven Pounds" starring Will Smith.
  • E. Patrick Silverstein
    Patrick Silverstein is an individual notable enough to be recognized as a bearer of the surname Silverstein, though specific widely known public details about him are not readily available.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb530779c819080204c3bd2f6afa2 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.