Triple

T7726563
Position Surface form Disambiguated ID Type / Status
Subject Cinema Paradiso (score) E175144 entity
Predicate hasPart P35 FINISHED
Object “For Elena”
“For Elena” is a romantic piano theme composed by Ennio Morricone as part of his acclaimed score for the Italian film Cinema Paradiso.
 E683779 NE FINISHED

How this triple was built (4 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: “For Elena” | Statement: [Cinema Paradiso (score), hasPart, “For Elena”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “For Elena”
Context triple: [Cinema Paradiso (score), hasPart, “For Elena”]
  • A. ELENA
    ELENA is a CERN accelerator ring designed to decelerate antiprotons to very low energies for precision antimatter experiments.
  • B. Für Alina
    Für Alina is a minimalist solo piano piece by Estonian composer Arvo Pärt, known for its meditative simplicity and use of his signature tintinnabuli style.
  • C. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • D. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • E. Valeria
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: “For Elena”
Triple: [Cinema Paradiso (score), hasPart, “For Elena”]
Generated description
“For Elena” is a romantic piano theme composed by Ennio Morricone as part of his acclaimed score for the Italian film Cinema Paradiso.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “For Elena”
Target entity description: “For Elena” is a romantic piano theme composed by Ennio Morricone as part of his acclaimed score for the Italian film Cinema Paradiso.
  • A. ELENA
    ELENA is a CERN accelerator ring designed to decelerate antiprotons to very low energies for precision antimatter experiments.
  • B. Für Alina
    Für Alina is a minimalist solo piano piece by Estonian composer Arvo Pärt, known for its meditative simplicity and use of his signature tintinnabuli style.
  • C. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • D. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • E. Valeria
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • F. None of above. chosen

Provenance (5 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70314abb88190a7eaa519bd7398c9 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b5275164819096678c019fdd4da4 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5ed16d48190b127877fc9a11abf completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b65a04a48190bf5e01ba0921cf14 completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:06 p.m.