Triple

T12789678
Position Surface form Disambiguated ID Type / Status
Subject Afro-Saint Lucian people E305723 entity
Predicate culturalPracticesInclude P28698 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-Saint Lucian people, culturalPracticesInclude, Anansi stories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anansi stories
Context triple: [Afro-Saint Lucian people, culturalPracticesInclude, 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6a61f48190972e241e70bc392c completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68508e4488190bb57a1ade93987ab completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.