Triple

T2755460
Position Surface form Disambiguated ID Type / Status
Subject Oluremi Tinubu E61089 entity
Predicate familyName P18 FINISHED
Object Tinubu E9149 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: Tinubu | Statement: [Oluremi Tinubu, familyName, Tinubu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinubu
Context triple: [Oluremi Tinubu, familyName, Tinubu]
  • A. Oluremi Tinubu
    Oluremi Tinubu is a Nigerian politician and former First Lady of Lagos State who serves as the First Lady of Nigeria and has been a prominent senator and advocate for social and women’s issues.
  • B. Bola Tinubu chosen
    Bola Tinubu is a Nigerian politician and former governor of Lagos State who became president of Nigeria in 2023.
  • C. Muhammadu Buhari
    Muhammadu Buhari is a Nigerian politician and retired major general who served as the President of Nigeria from 2015 to 2023.
  • D. Bukola Saraki
    Bukola Saraki is a Nigerian politician and former governor of Kwara State who served as President of the Nigerian Senate from 2015 to 2019.
  • E. Yemi Osinbajo
    Yemi Osinbajo is a Nigerian lawyer, professor of law, and politician who served as the Vice President of Nigeria from 2015 to 2023.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb718f4c8190bfc34c6597163ebc completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2032ecb7481908801a4896c166203 completed March 12, 2026, 12:05 a.m.
Created at: March 6, 2026, 9:56 p.m.