Triple
T16165909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthsea |
E392302
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Ogion |
E1190603
|
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: Ogion | Statement: [Earthsea, notableCharacter, Ogion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogion Context triple: [Earthsea, notableCharacter, Ogion]
-
A.
Ogion
chosen
Ogion is a wise and powerful mage in Ursula K. Le Guin’s Earthsea series, known for his deep silence, restraint, and role as Ged’s first teacher.
-
B.
Osian
Osian is an ancient town in Rajasthan, India, renowned for its cluster of beautifully carved Hindu and Jain temples dating back to the early medieval period.
-
C.
Taran
Taran is the young, idealistic Assistant Pig-Keeper and main protagonist of Lloyd Alexander’s fantasy novel "The Black Cauldron," who dreams of becoming a great hero.
-
D.
Aluneth
Aluneth is a powerful Legendary Mage weapon card in Hearthstone, best known for its strong card-draw effect and central role in aggressive and combo Mage decks.
-
E.
Caebitra
Caebitra is a small river in the Welsh–English border region that serves as a tributary of the River Camlad.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb2a25c819095437b25e6ab83f3 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b96bf08190b23bd3b705a34c61 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.