Triple

T17048554
Position Surface form Disambiguated ID Type / Status
Subject Ferry Corsten E413633 entity
Predicate associatedAct P37 FINISHED
Object Tiesto E411244 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: Tiesto | Statement: [Ferry Corsten, associatedAct, Tiesto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiesto
Context triple: [Ferry Corsten, associatedAct, Tiesto]
  • A. Tiesto chosen
    Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
  • B. Tieto
    Tieto was a Finnish IT services and software company that provided digital solutions and consulting, later rebranded as part of Tietoevry.
  • C. Tikkurila
    Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
  • D. Hartwall
    Hartwall is a Finnish beverage company best known for producing soft drinks, beers, and bottled waters.
  • E. Sampo
    Sampo is a mysterious, magical artifact in Finnish mythology and the national epic Kalevala, often depicted as a mill that produces endless prosperity and good fortune.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa092f08190a9e37404a9de662c completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233fb8d88190a9a6ef6a2f19a499 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:34 a.m.