Triple
T10387950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powhatan |
E244813
|
entity |
| Predicate | mainDeity |
P7648
|
FINISHED |
| Object | Okeus |
E685712
|
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: Okeus | Statement: [Powhatan, mainDeity, Okeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okeus Context triple: [Powhatan, mainDeity, Okeus]
-
A.
Okeus
chosen
Okeus is a powerful deity in Powhatan religion, often associated with war, retribution, and the enforcement of moral order.
-
B.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
-
C.
Oker
The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
-
D.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
E.
Owaneco
Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
- 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_69d4e9a59d688190b1da1ea0ed48fafa |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795aa3afc8190aed1ca11556ae34f |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:05 p.m.