Triple

T16959753
Position Surface form Disambiguated ID Type / Status
Subject Maarten E411394 entity
Predicate notableBearer P458 FINISHED
Object Maarten Stekelenburg E716375 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: Maarten Stekelenburg | Statement: [Maarten, notableBearer, Maarten Stekelenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maarten Stekelenburg
Context triple: [Maarten, notableBearer, Maarten Stekelenburg]
  • A. Maarten Stekelenburg chosen
    Maarten Stekelenburg is a Dutch professional goalkeeper best known for his performances with the Netherlands national team and clubs such as Ajax, Roma, and Everton.
  • B. Paul Rijkens
    Paul Rijkens was a Dutch businessman and longtime Unilever executive who was instrumental in postwar European integration efforts and co-founded the influential Bilderberg Group.
  • C. Frank Boogaerts
    Frank Boogaerts is a Belgian politician who has served as the mayor of the city of Lier in the province of Antwerp.
  • D. Randy van der Elsen
    Randy van der Elsen is a musician best known as a member of the Dutch hard rock band Vandenberg.
  • E. Tinus Osendarp
    Tinus Osendarp was a Dutch sprinter best known for winning two bronze medals in the 100 m and 200 m events at the 1936 Berlin Olympics.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01f9ba881908dc8820b92869a63 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d468f5048190aa43b212ec7a7306 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.