Triple

T22437378
Position Surface form Disambiguated ID Type / Status
Subject Muzio Clementi E554661 entity
Predicate familyName P18 FINISHED
Object Clementi 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: Clementi | Statement: [Muzio Clementi, familyName, Clementi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clementi
Context triple: [Muzio Clementi, familyName, Clementi]
  • A. Clementi
    Clementi is a residential town and planning area in the western region of Singapore, known for its housing estates, schools, and transport links.
  • B. Magaloff
    Magaloff is the surname of Nikita Magaloff, a Georgian-Russian pianist renowned for his interpretations and complete recordings of Chopin’s works.
  • C. Suzak
    Suzak is a town and administrative center in western Kyrgyzstan’s Jalal-Abad Region, known for its role as a local hub in the Fergana Valley area.
  • D. Clementi & Co. chosen
    Clementi & Co. was a prominent London-based music publishing and piano manufacturing firm established by the composer and pianist Muzio Clementi in the early 19th century.
  • E. Brendel
    Brendel is a surname most notably associated with El Brendel, an American vaudeville and film comedian of the early 20th century.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adf52f08190a5b592be3e68af0f completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.