Triple
T10391646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coming Through Slaughter |
E244905
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Anansi |
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 | Statement: [Coming Through Slaughter, publisher, Anansi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anansi Context triple: [Coming Through Slaughter, publisher, Anansi]
-
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.
Kwaku
Kwaku is a Ghanaian given name traditionally borne by males born on a Wednesday in Akan culture.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b5b43081908641a5abfb08dc2b |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795b9974c819087340adc3622279e |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.