Triple

T19165466
Position Surface form Disambiguated ID Type / Status
Subject Phil Petrillo E469166 entity
Predicate familyName P18 FINISHED
Object 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: Petrillo | Statement: [Phil Petrillo, familyName, Petrillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrillo
Context triple: [Phil Petrillo, familyName, Petrillo]
  • A. Petrillo chosen
    Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
  • B. Liguori
    Liguori is an Italian surname most famously associated with St. Alphonsus Liguori, an 18th-century Catholic bishop, moral theologian, and founder of the Redemptorist congregation.
  • C. Petrosino
    Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
  • D. Boselli
    Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
  • E. Ardolino
    Ardolino is an Italian surname most notably associated with Emile Ardolino, the American film director and producer known for works like "Dirty Dancing."
  • 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.