Triple

T17152242
Position Surface form Disambiguated ID Type / Status
Subject Ike Diogu E416249 entity
Predicate familyName P18 FINISHED
Object Diogu
Diogu is the surname of Ike Diogu, a Nigerian-American professional basketball player known for his career in the NBA and international leagues.
 E1252811 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: Diogu | Statement: [Ike Diogu, familyName, Diogu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diogu
Context triple: [Ike Diogu, familyName, Diogu]
  • A. Dioga
    Dioga is the feminine given name or form corresponding to the masculine name Diogo.
  • B. Diois
    Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
  • C. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • D. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • E. Bagoas
    Bagoas is a historical figure known primarily from ancient sources, though details about this individual—beyond being linked genealogically to the Numidian king Masinissa—are sparse and uncertain.
  • 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: Diogu
Triple: [Ike Diogu, familyName, Diogu]
Generated description
Diogu is the surname of Ike Diogu, a Nigerian-American professional basketball player known for his career in the NBA and international leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diogu
Target entity description: Diogu is the surname of Ike Diogu, a Nigerian-American professional basketball player known for his career in the NBA and international leagues.
  • A. Dioga
    Dioga is the feminine given name or form corresponding to the masculine name Diogo.
  • B. Diois
    Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
  • C. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • D. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • E. Bagoas
    Bagoas is a historical figure known primarily from ancient sources, though details about this individual—beyond being linked genealogically to the Numidian king Masinissa—are sparse and uncertain.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40861e08190bad1a3ec87691132 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415d19288190beb3c94da2ce8c0e completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.