Triple

T6066579
Position Surface form Disambiguated ID Type / Status
Subject Nnedi Okorafor E135174 entity
Predicate notableWork P4 FINISHED
Object Ikenga E548351 NE FINISHED

How this triple was built (2 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: Ikenga | Statement: [Nnedi Okorafor, notableWork, Ikenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikenga
Context triple: [Nnedi Okorafor, notableWork, Ikenga]
  • A. Ikenga chosen
    Ikenga is a personal deity and symbolic figure in Igbo spirituality representing an individual's strength, achievement, and right-hand power.
  • B. Ezinge
    Ezinge is a historic village in the Dutch province of Groningen, known for its ancient artificial dwelling mound (terp) and archaeological significance.
  • C. Igunga
    Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
  • D. Ijigayehu
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • E. Ogwumike
    Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0573f17088190a728f1c290cc9d1d completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d23dca8819080702ca0f05df5dd completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.