Triple
T14797866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Glele |
E347825
|
entity |
| Predicate | religion |
P45
|
FINISHED |
| Object | Vodun |
E171112
|
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: Vodun | Statement: [King Glele, religion, Vodun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vodun Context triple: [King Glele, religion, Vodun]
-
A.
Vodun
chosen
Vodun is a traditional West African religion centered on the worship of spirits and ancestors, particularly prominent in Benin and neighboring regions.
-
B.
Vodoo
Vodoo is the gaming alias of Alexander "Vodoo" Beutel, a professional esports player and streamer known in the competitive gaming community.
-
C.
Haitian Vodou
Haitian Vodou is a syncretic Afro-Caribbean religion from Haiti that blends West and Central African spiritual traditions with Roman Catholicism and indigenous beliefs, centered on the worship of spirits called lwa.
-
D.
Orisha
Orisha are deities or divine spirits in the Yoruba religion, each embodying specific natural forces, human traits, and aspects of daily life, and serving as intermediaries between humans and the supreme god.
-
E.
Voodoo Juju
Voodoo Juju is a notable creative work by the artist or creator known as Future User, recognized within their body of work.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b47389c8190ab0a46e3b4653a2a |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:31 a.m.