Triple

T18253124
Position Surface form Disambiguated ID Type / Status
Subject Danny Francesco E437149 entity
Predicate hasNameInWork P35337 FINISHED
Object Danny Francesco 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: Danny Francesco | Statement: [Danny Francesco, hasNameInWork, Danny Francesco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Francesco
Context triple: [Danny Francesco, hasNameInWork, Danny Francesco]
  • A. Danny Francesco chosen
    Danny Francesco is a fictional Hollywood movie star character in the action-comedy film "Operation Fortune: Ruse de Guerre," who becomes entangled in an espionage mission.
  • B. Alberto Scorfano
    Alberto Scorfano is a daring and free-spirited sea monster boy who becomes the adventurous best friend and guide to Luca in Pixar's animated film "Luca."
  • C. Francesco Accardo
    Francesco Accardo is known primarily as the son of notorious Chicago Outfit boss Tony Accardo.
  • D. Tony Accardo
    Tony Accardo was a powerful American mob boss who led the Chicago Outfit for decades and helped shape organized crime in the mid-20th century.
  • E. Arturo Benedetti Michelangeli
    Arturo Benedetti Michelangeli was an Italian classical pianist renowned for his extraordinary technical precision, refined tone, and intensely meticulous interpretations of the piano repertoire.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd81ea3481909d96b5399f7a32b3 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.