Triple

T19092984
Position Surface form Disambiguated ID Type / Status
Subject Art Parkinson E467334 entity
Predicate familyName P18 FINISHED
Object Parkinson 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: Parkinson | Statement: [Art Parkinson, familyName, Parkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkinson
Context triple: [Art Parkinson, familyName, Parkinson]
  • A. Parkinson chosen
    "Parkinson" is a long-running British television talk show hosted by journalist and broadcaster Michael Parkinson, renowned for its in-depth celebrity interviews.
  • B. Parkinson's disease
    Parkinson's disease is a progressive neurodegenerative disorder characterized primarily by motor symptoms such as tremors, rigidity, and slowed movement, caused by the loss of dopamine-producing neurons in the brain.
  • C. PD
    PD is the vehicle registration code used on license plates for the Slovak town of Prievidza.
  • D. PD
    PD is the commonly used abbreviation for Italy’s center-left political party, the Partito Democratico (Democratic Party).
  • E. PD
    PD is the vehicle registration code used on license plates for the city of Prijedor in Bosnia and Herzegovina.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34cf5e481908e1f180dacd5602f completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.