Triple
T3213385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan le Fay |
E67333
|
entity |
| Predicate | spouseOrLover |
P9994
|
FINISHED |
| Object |
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.
|
E338063
|
NE FINISHED |
How this triple was built (4 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 Uriens | Statement: [Morgan le Fay, spouseOrLover, King Uriens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Uriens Context triple: [Morgan le Fay, spouseOrLover, King Uriens]
-
A.
Sir Gaerfyrddin
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
-
B.
David of Sassoun
David of Sassoun is a legendary Armenian folk hero and epic warrior celebrated for his superhuman strength and defense of his homeland in the medieval national epic.
-
C.
Owain
Owain is a given name of Welsh origin, traditionally borne by several figures in Welsh mythology and medieval literature.
-
D.
Llewelyn
Llewelyn is a Welsh given name of Celtic origin traditionally used for males.
-
E.
Vortigern
Vortigern is the primary antagonist in the film "King Arthur: Legend of the Sword," depicted as a power-hungry ruler who usurps the throne through dark magic and treachery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: King Uriens Triple: [Morgan le Fay, spouseOrLover, King Uriens]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: King Uriens Target entity description: 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.
-
A.
Sir Gaerfyrddin
Sir Gaerfyrddin is the Welsh-language name for Carmarthenshire, a historic county in southwest Wales.
-
B.
David of Sassoun
David of Sassoun is a legendary Armenian folk hero and epic warrior celebrated for his superhuman strength and defense of his homeland in the medieval national epic.
-
C.
Owain
Owain is a given name of Welsh origin, traditionally borne by several figures in Welsh mythology and medieval literature.
-
D.
Llewelyn
Llewelyn is a Welsh given name of Celtic origin traditionally used for males.
-
E.
Vortigern
Vortigern is the primary antagonist in the film "King Arthur: Legend of the Sword," depicted as a power-hungry ruler who usurps the throne through dark magic and treachery.
- F. None of above. chosen
Provenance (5 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabba8e481909118d9f888ddcd63 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c446088190a1651e108279c7ba |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265ef74d081908fe4dd4998dbf240 |
completed | March 12, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:07 p.m.