Triple

T19165452
Position Surface form Disambiguated ID Type / Status
Subject Phil Petrillo E469166 entity
Predicate relative P37 FINISHED
Object Salvadore Petrillo 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: Salvadore Petrillo | Statement: [Phil Petrillo, relative, Salvadore Petrillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salvadore Petrillo
Context triple: [Phil Petrillo, relative, Salvadore Petrillo]
  • A. Salvadore Petrillo chosen
    Salvadore Petrillo is a minor fictional character in the television series "The Golden Girls," known primarily as the late husband of Sophia Petrillo.
  • B. Rafael Castillo
    Rafael Castillo is a locality within the Greater Buenos Aires metropolitan area in Argentina, known as part of the urban sprawl of La Matanza.
  • C. Ron Garcia
    Ron Garcia is an American cinematographer known for his work on films and television, including the crime drama "L.A. Takedown."
  • D. Pedro Rosselló
    Pedro Rosselló is a Puerto Rican physician and politician who served as governor of Puerto Rico in the 1990s and is known for his pro-statehood stance and major public works projects.
  • E. Miguel A. Núñez Jr.
    Miguel A. Núñez Jr. is an American actor and comedian best known for his roles in films like "Juwanna Mann," "The Return of the Living Dead," and numerous television shows.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15ee064819087f9fd822236298f completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.