Triple

T15710486
Position Surface form Disambiguated ID Type / Status
Subject Rodrigo Leão E380822 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Ludovico Einaudi E243961 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: Ludovico Einaudi | Statement: [Rodrigo Leão, hasCollaboratedWith, Ludovico Einaudi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludovico Einaudi
Context triple: [Rodrigo Leão, hasCollaboratedWith, Ludovico Einaudi]
  • A. Ludovico Einaudi chosen
    Ludovico Einaudi is an Italian pianist and composer renowned for his minimalist, emotionally evocative contemporary classical music widely used in film and television.
  • B. Yann Tiersen
    Yann Tiersen is a French musician and composer best known internationally for his whimsical, minimalist score to the film "Amélie."
  • C. Mario Einaudi
    Mario Einaudi was an Italian-born political scientist and academic who became a prominent scholar of comparative government in the United States.
  • D. Nora Pärt
    Nora Pärt is the wife and close collaborator of Estonian composer Arvo Pärt, known for supporting and helping manage his artistic career.
  • E. Arvo Pärt
    Arvo Pärt is an Estonian composer renowned for his spiritually inspired minimalist style, particularly his distinctive tintinnabuli technique.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.