Triple

T16826341
Position Surface form Disambiguated ID Type / Status
Subject Olu Falae E409027 entity
Predicate givenName P17 FINISHED
Object Olu
Olu is a Yoruba given name commonly used in Nigeria, often as a shortened form of names that reference nobility or divinity.
 E1237382 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: Olu | Statement: [Olu Falae, givenName, Olu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olu
Context triple: [Olu Falae, givenName, Olu]
  • A. Omoloko
    Omoloko is an Afro-Brazilian religious tradition that blends Yoruba-derived orixá worship with elements of other African, Indigenous, and Catholic spiritual practices.
  • B. Oloko
    Oloko is a town in Ikwuano Local Government Area of Abia State in southeastern Nigeria, known for its predominantly Igbo population and agrarian community.
  • C. Olum
    Olum is a small settlement located within Jevnaker municipality in Viken county, Norway.
  • D. Omolu
    Omolu is an orixá in Afro-Brazilian religion, particularly revered as a powerful deity of disease, healing, and the dead.
  • E. Obosi
    Obosi is a historic Igbo town in southeastern Nigeria known for its cultural heritage and proximity to the commercial city of Onitsha in Anambra State.
  • 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: Olu
Triple: [Olu Falae, givenName, Olu]
Generated description
Olu is a Yoruba given name commonly used in Nigeria, often as a shortened form of names that reference nobility or divinity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olu
Target entity description: Olu is a Yoruba given name commonly used in Nigeria, often as a shortened form of names that reference nobility or divinity.
  • A. Omoloko
    Omoloko is an Afro-Brazilian religious tradition that blends Yoruba-derived orixá worship with elements of other African, Indigenous, and Catholic spiritual practices.
  • B. Oloko
    Oloko is a town in Ikwuano Local Government Area of Abia State in southeastern Nigeria, known for its predominantly Igbo population and agrarian community.
  • C. Olum
    Olum is a small settlement located within Jevnaker municipality in Viken county, Norway.
  • D. Omolu
    Omolu is an orixá in Afro-Brazilian religion, particularly revered as a powerful deity of disease, healing, and the dead.
  • E. Obosi
    Obosi is a historic Igbo town in southeastern Nigeria known for its cultural heritage and proximity to the commercial city of Onitsha in Anambra State.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31404c88190a3b2802842ca77eb completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb11f8708190ae762a28710e4246 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc4cdf8481909ad45b9c66234c9b completed May 10, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_6a00bcfcb434819092b85ce1debb9be8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:23 a.m.