Triple

T5255313
Position Surface form Disambiguated ID Type / Status
Subject Blondie E118682 entity
Predicate member P10 FINISHED
Object Frank Infante E503746 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: Frank Infante | Statement: [Blondie, member, Frank Infante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Infante
Context triple: [Blondie, member, Frank Infante]
  • A. Frank Infante chosen
    Frank Infante is an American guitarist best known for his work with the punk rock band Blondie during their late-1970s and early-1980s peak.
  • B. John DiFronzo
    John DiFronzo was an American mobster who rose to become a powerful boss of the Chicago Outfit and a prominent figure in organized crime.
  • C. Hank Cicalo
    Hank Cicalo is a recording engineer best known for his work on influential rock and pop albums, including projects with artists like Carole King and The Monkees.
  • 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. Al Martino
    Al Martino was an American traditional pop and easy listening singer best known for hits like "Here in My Heart" and for playing Johnny Fontane in the film "The Godfather."
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba2f5d08190850529659901ae0f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7a1f448190acfcdfe37c962028 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.