Triple

T8515385
Position Surface form Disambiguated ID Type / Status
Subject Joe Pantoliano E201559 entity
Predicate name P16 FINISHED
Object Joe Pantoliano E201559 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: Joe Pantoliano | Statement: [Joe Pantoliano, name, Joe Pantoliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Pantoliano
Context triple: [Joe Pantoliano, name, Joe Pantoliano]
  • A. Joe Pantoliano chosen
    Joe Pantoliano is an American character actor known for his memorable supporting roles in films and television, including his portrayal of the treacherous Cypher in "The Matrix."
  • B. Vincent D'Onofrio
    Vincent D'Onofrio is an American actor known for his intense character roles in film and television, including standout performances in "Full Metal Jacket," "Law & Order: Criminal Intent," and as Wilson Fisk in Marvel's "Daredevil."
  • C. Paul Sorvino
    Paul Sorvino was an American actor best known for his commanding character roles in films such as "Goodfellas" and for his work on stage and television.
  • D. Michael Gandolfini
    Michael Gandolfini is an American actor known for portraying a young Tony Soprano in the film "The Many Saints of Newark."
  • E. Nicholas Turturro
    Nicholas Turturro is an American actor known for his work in television and film, particularly in crime dramas and character roles.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e5dbb3c81909157e6b04a4956af completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.