Triple
T11634071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoruba religion |
E276471
|
entity |
| Predicate | hasPantheonMember |
P67652
|
FINISHED |
| Object | Oshun |
E58293
|
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: Oshun | Statement: [Yoruba religion, hasPantheonMember, Oshun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshun Context triple: [Yoruba religion, hasPantheonMember, Oshun]
-
A.
Oshun
chosen
Oshun is a major Yoruba orisha revered as the goddess of fresh water, love, beauty, fertility, and diplomacy.
-
B.
Oshunrinde
Oshunrinde is the surname of Canadian record producer and songwriter WondaGurl, known for her work in hip-hop and contemporary popular music.
-
C.
Yemoja
Yemoja is a major Yoruba water deity revered as a nurturing mother figure and protector associated with rivers, fertility, and the sea.
-
D.
Anahita
Anahita is an ancient Iranian goddess associated with water, fertility, and protection, widely venerated in the Achaemenid and later Persian empires.
-
E.
Alaqua
Alaqua is a feminine given name most notably borne by American actress Alaqua Cox, known for her role in the Marvel Cinematic Universe.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25c0b00819095898d2b2445ecfb |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87b12044819098a858edb2b16689 |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.