Triple
T9181527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Yvain |
E220341
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | King Urien |
E262005
|
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: King Urien | Statement: [Sir Yvain, father, King Urien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Urien Context triple: [Sir Yvain, father, King Urien]
-
A.
King Uriens
King Uriens is a legendary monarch in Arthurian romance, often depicted as a ruler allied with King Arthur and the husband of the enchantress Morgan le Fay.
-
B.
Sir Gaerfyrddin
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
-
C.
Owain
chosen
Owain is a given name of Welsh origin, traditionally borne by several figures in Welsh mythology and medieval literature.
-
D.
Cadwallon ap Cadfan
Cadwallon ap Cadfan was a 7th-century king of Gwynedd in Wales, known for his campaigns against the Anglo-Saxon kingdoms, including the defeat and death of King Edwin of Northumbria at the Battle of Hatfield Chase.
-
E.
Sir Geraint
Sir Geraint is a knight of Arthurian legend, best known from medieval Welsh and English romances for his chivalric exploits and his marriage to Enid.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25379008190b8ca047efe3bb7bb |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c70fa90881909ba9e797ef24768b |
completed | April 4, 2026, 8:08 a.m. |
Created at: March 30, 2026, 7:23 p.m.