Triple

T6875476
Position Surface form Disambiguated ID Type / Status
Subject Anansi Boys E158660 entity
Predicate hasSubject P450 FINISHED
Object Anansi (mythology) E625855 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: Anansi (mythology) | Statement: [Anansi Boys, hasSubject, Anansi (mythology)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anansi (mythology)
Context triple: [Anansi Boys, hasSubject, Anansi (mythology)]
  • A. Anansi chosen
    Anansi is a trickster spider-god from West African and Caribbean folklore, known for his cleverness, storytelling, and role in outwitting more powerful beings.
  • B. Onyankopon
    Onyankopon is the supreme sky god and creator figure in the traditional religion of the Akan people of West Africa.
  • C. Malongo
    Malongo is a major offshore oil field and production hub located off the coast of Cabinda in Angola.
  • D. Okiek
    Okiek is a Southern Nilotic language spoken by the Okiek (Ogiek) people of Kenya and Tanzania, known for their traditional forest-dwelling hunter-gatherer culture.
  • E. Akwamu
    Akwamu was a powerful early modern West African kingdom of the Akan people, known for its military expansion and control of key trade routes in what is now Ghana.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c9e7b481909079b0f1fb1bc217 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c35d488190a26785dbfe830066 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.