Triple

T21490711
Position Surface form Disambiguated ID Type / Status
Subject Claire van Kampen E530227 entity
Predicate notableWork P4 FINISHED
Object Farinelli and the King 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: Farinelli and the King | Statement: [Claire van Kampen, notableWork, Farinelli and the King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farinelli and the King
Context triple: [Claire van Kampen, notableWork, Farinelli and the King]
  • A. Farinelli and the King chosen
    Farinelli and the King is a stage play that dramatizes the relationship between the famed castrato singer Farinelli and Spain’s mentally ill King Philip V, originally written by Claire van Kampen and acclaimed for Mark Rylance’s performance.
  • B. Rosamunde Quartett
    Rosamunde Quartett is a renowned German string quartet known for its refined interpretations of both classical and contemporary repertoire.
  • C. Amadeus
    Amadeus is the given name of Victor Amadeus II of Savoy, an early 18th-century ruler who became the first King of Sardinia and a significant European monarch.
  • D. Amadeus
    Amadeus is a music producer known for his work on hip-hop projects such as the album "Crime Pays."
  • E. Amadeus
    Amadeus is a leading global travel technology and distribution company that provides reservation, ticketing, and IT solutions for airlines, travel agencies, and other travel industry players.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.