Triple

T20961523
Position Surface form Disambiguated ID Type / Status
Subject Serbelloni E516257 entity
Predicate hasTitleAssociated P5175 FINISHED
Object Count 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: Count | Statement: [Serbelloni, hasTitleAssociated, Count]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count
Context triple: [Serbelloni, hasTitleAssociated, Count]
  • A. Count
    Count was the stage name of William "Count" Basie, the influential American jazz pianist, organist, bandleader, and composer who helped define the swing era.
  • B. Count chosen
    Count is a European noble title historically ranking below a marquis and above a viscount, often associated with governance of a county.
  • C. CNT
    CNT is the commonly used abbreviation for the USA Baseball Collegiate National Team, which features top U.S. college baseball players in international competition.
  • D. CNT
    CNT is a historic anarcho-syndicalist trade union and political organization in Spain known for its leading role in workers’ movements and the Spanish Civil War.
  • E. CNT
    CNT is the three-letter station code used to identify Canning Town Underground station in London’s transport network.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6fd1d48190ad0ec7eb72f84889 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.