Triple

T19998630
Position Surface form Disambiguated ID Type / Status
Subject Goodbye Beautiful E494260 entity
Predicate originalTitle P65 FINISHED
Object Bella Ciao 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: Bella Ciao | Statement: [Goodbye Beautiful, originalTitle, Bella Ciao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Ciao
Context triple: [Goodbye Beautiful, originalTitle, Bella Ciao]
  • A. Bella Ciao chosen
    "Bella Ciao" is a famous Italian anti-fascist folk song that gained renewed worldwide popularity as an anthem of resistance through its prominent use in the TV series *Money Heist*.
  • B. Mon credo
    Mon credo is a popular French chanson that became one of Mireille Mathieu’s signature early hits.
  • C. Na Rosa
    Na Rosa is a coastal Irish-speaking community in County Donegal, Ireland, known for its strong Gaelic culture and scenic Atlantic landscape.
  • D. Volare
    "Volare" is a popular song famously covered by British tenor Russell Watson, showcasing his classical crossover vocal style.
  • E. Funiculì, Funiculà
    "Funiculì, Funiculà" is a famous Neapolitan song, often performed in operatic and classical crossover concerts, that has become one of the most recognizable pieces of Italian popular music worldwide.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.