Triple

T3606832
Position Surface form Disambiguated ID Type / Status
Subject Ime Udoka E76392 entity
Predicate familyName P18 FINISHED
Object Udoka
Udoka is a Nigerian surname most prominently associated with Ime Udoka, a former NBA player and current professional basketball coach.
E76392 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: Udoka | Statement: [Ime Udoka, familyName, Udoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udoka
Context triple: [Ime Udoka, familyName, Udoka]
  • A. Ime Udoka
    Ime Udoka is a Nigerian-American former NBA player and coach best known for leading the Boston Celtics to the 2022 NBA Finals in his first season as their head coach.
  • B. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • C. Breeland
    Breeland is the surname of the fictional Lemon Breeland, a character from the television series "Hart of Dixie."
  • D. Chone
    Chone is a city in coastal Ecuador known for its agricultural economy and frequent flooding, located in the Manabí Province.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • 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: Udoka
Triple: [Ime Udoka, familyName, Udoka]
Generated description
Udoka is a Nigerian surname most prominently associated with Ime Udoka, a former NBA player and current professional basketball coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Udoka
Target entity description: Udoka is a Nigerian surname most prominently associated with Ime Udoka, a former NBA player and current professional basketball coach.
  • A. Ime Udoka chosen
    Ime Udoka is a Nigerian-American former NBA player and coach best known for leading the Boston Celtics to the 2022 NBA Finals in his first season as their head coach.
  • B. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • C. Breeland
    Breeland is the surname of the fictional Lemon Breeland, a character from the television series "Hart of Dixie."
  • D. Chone
    Chone is a city in coastal Ecuador known for its agricultural economy and frequent flooding, located in the Manabí Province.
  • E. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • F. None of above.

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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1e33cfc8190afc716b19480fbce completed March 8, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330bc9f081909a5c1e6da885cfc5 completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b4364e9f848190ab1e5e03c43dfae4 completed March 13, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_69b4367bec908190b0c6dc844af5e366 completed March 13, 2026, 4:08 p.m.
Created at: March 8, 2026, 3:22 p.m.