Triple

T12410475
Position Surface form Disambiguated ID Type / Status
Subject Azubuike Oliseh E296500 entity
Predicate familyName P18 FINISHED
Object Oliseh E294478 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: Oliseh | Statement: [Azubuike Oliseh, familyName, Oliseh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliseh
Context triple: [Azubuike Oliseh, familyName, Oliseh]
  • A. Oliseh chosen
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • B. Olivera
    Olivera is a feminine given name of Slavic origin, commonly used in various Balkan countries.
  • C. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • D. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • E. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b962d1c81909c2119890d921648 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.