Triple

T3956642
Position Surface form Disambiguated ID Type / Status
Subject Sophia Petrillo E85795 entity
Predicate relative P37 FINISHED
Object Phil Petrillo E469166 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: Phil Petrillo | Statement: [Sophia Petrillo, relative, Phil Petrillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Petrillo
Context triple: [Sophia Petrillo, relative, Phil Petrillo]
  • A. Phil Petrillo chosen
    Phil Petrillo is a minor character referenced in the TV sitcom "The Golden Girls" as one of Sophia Petrillo's children.
  • B. Joe Viterelli
    Joe Viterelli was an American character actor best known for his comedic portrayals of tough, mob-connected figures in films such as "Analyze This" and its sequel.
  • C. Don Ierullo
    Don Ierullo is a media entrepreneur best known for founding the global entertainment company Entertainment One.
  • D. Ray Ferraro
    Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
  • E. Ralph Cifaretto
    Ralph Cifaretto is a volatile, sadistic mob captain in the HBO series "The Sopranos," known for his cruelty, dark humor, and pivotal role in several of the show's most shocking storylines.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c69987881908dc2b6286fec73c2 completed March 21, 2026, 8:52 a.m.
Created at: March 9, 2026, 3:31 p.m.