Triple

T2755459
Position Surface form Disambiguated ID Type / Status
Subject Oluremi Tinubu E61089 entity
Predicate givenName P17 FINISHED
Object Oluremi
Oluremi is a feminine given name of Yoruba origin, commonly used in Nigeria and among Yoruba-speaking communities.
E296316 NE FINISHED

How this triple was built (4 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: Oluremi | Statement: [Oluremi Tinubu, givenName, Oluremi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oluremi
Context triple: [Oluremi Tinubu, givenName, Oluremi]
  • A. Oyelowo
    Oyelowo is the surname of David Oyelowo, a British-Nigerian actor known for roles in films such as "Selma" and "The Butler."
  • B. Ogwumike
    Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
  • C. Dumebi
    Dumebi is a popular Afrobeats hit song by Nigerian singer Rema that helped launch him to international prominence.
  • D. Ogboru
    Ogboru is a traditional deity revered by the Urhobo people of Nigeria, associated with their indigenous religious beliefs and cultural practices.
  • E. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oluremi
Triple: [Oluremi Tinubu, givenName, Oluremi]
Generated description
Oluremi is a feminine given name of Yoruba origin, commonly used in Nigeria and among Yoruba-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oluremi
Target entity description: Oluremi is a feminine given name of Yoruba origin, commonly used in Nigeria and among Yoruba-speaking communities.
  • A. Oyelowo
    Oyelowo is the surname of David Oyelowo, a British-Nigerian actor known for roles in films such as "Selma" and "The Butler."
  • B. Ogwumike
    Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
  • C. Dumebi
    Dumebi is a popular Afrobeats hit song by Nigerian singer Rema that helped launch him to international prominence.
  • D. Ogboru
    Ogboru is a traditional deity revered by the Urhobo people of Nigeria, associated with their indigenous religious beliefs and cultural practices.
  • E. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • F. None of above. chosen

Provenance (5 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_69afc040c5f08190898e81938afe6884 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0c3db88819094cb835ce9401f03 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc1213c008190beb7e65eadc97ed5 completed March 10, 2026, 6:58 a.m.
Created at: March 6, 2026, 9:56 p.m.