Triple

T14547012
Position Surface form Disambiguated ID Type / Status
Subject Afro-Caribbean culture E341315 entity
Predicate hasCulturalPractice P3114 FINISHED
Object Anansi stories 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 stories | Statement: [Afro-Caribbean culture, hasCulturalPractice, Anansi stories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anansi stories
Context triple: [Afro-Caribbean culture, hasCulturalPractice, Anansi stories]
  • A. Anansi Boys
    Anansi Boys is a contemporary fantasy novel by Neil Gaiman that blends myth, humor, and family drama through the story of the sons of the West African trickster god Anansi.
  • B. 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.
  • C. Fables
    Fables is a collection of satirical verse tales by John Gay that use animal characters and moral lessons to comment on human nature and society.
  • D. Fables
    Fables is a collection of medieval verse tales by Marie de France that adapt and moralize traditional animal stories and folktales.
  • E. Fables
    Fables is a comic book series created by Bill Willingham that reimagines classic fairy-tale and folklore characters living in exile in modern-day New York City.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ebdf9481909f4d2da1ad31099c completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.