Triple

T18571263
Position Surface form Disambiguated ID Type / Status
Subject Maurice Odumbe E453877 entity
Predicate familyName P18 FINISHED
Object Odumbe
Odumbe is a Kenyan surname most notably associated with former international cricketer Maurice Odumbe.
 E1331285 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: Odumbe | Statement: [Maurice Odumbe, familyName, Odumbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Odumbe
Context triple: [Maurice Odumbe, familyName, Odumbe]
  • A. Ogombo
    Ogombo is a developing coastal community in the Lekki–Ajah axis of Lagos State, Nigeria, known for its growing residential estates and proximity to major urban hubs.
  • B. Kiembu
    Kiembu is a Bantu language spoken primarily by the Embu people of central Kenya.
  • C. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • D. Yombe
    The Yombe are a Central African ethnic group known for their rich artistic traditions, especially woodcarving and ritual sculpture, and for their cultural and linguistic ties to the broader Kongo peoples.
  • E. Ochobo
    Ochobo is a town in Ohimini Local Government Area of Benue State, Nigeria, known locally as one of the area’s key settlements.
  • 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: Odumbe
Triple: [Maurice Odumbe, familyName, Odumbe]
Generated description
Odumbe is a Kenyan surname most notably associated with former international cricketer Maurice Odumbe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Odumbe
Target entity description: Odumbe is a Kenyan surname most notably associated with former international cricketer Maurice Odumbe.
  • A. Ogombo
    Ogombo is a developing coastal community in the Lekki–Ajah axis of Lagos State, Nigeria, known for its growing residential estates and proximity to major urban hubs.
  • B. Kiembu
    Kiembu is a Bantu language spoken primarily by the Embu people of central Kenya.
  • C. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • D. Yombe
    The Yombe are a Central African ethnic group known for their rich artistic traditions, especially woodcarving and ritual sculpture, and for their cultural and linguistic ties to the broader Kongo peoples.
  • E. Ochobo
    Ochobo is a town in Ohimini Local Government Area of Benue State, Nigeria, known locally as one of the area’s key settlements.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b021ea4819095fe06be88e74133 completed April 19, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f886f2e88190bf01061cb793c0ab completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9511eb08190952be765862cd1ab completed May 13, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9dd338881908b300bab7947f736 completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 11:43 a.m.