Triple
T3213386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan le Fay |
E67333
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Yvain |
E335147
|
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: Yvain | Statement: [Morgan le Fay, child, Yvain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvain Context triple: [Morgan le Fay, child, Yvain]
-
A.
Yvain
chosen
Yvain is a knight of the Round Table in Arthurian legend, best known as the hero of Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
-
B.
The Kymin
The Kymin is a historic hilltop site near Monmouth in Wales, known for its picturesque views and Georgian-era naval monument and round house.
-
C.
Gwyniad
The Gwyniad is a rare freshwater whitefish species endemic to a single Welsh lake, making it of significant conservation concern.
-
D.
Gawain
Gawain is a legendary knight of King Arthur’s Round Table in Arthurian literature, renowned for his chivalry and central role in tales such as "Sir Gawain and the Green Knight."
-
E.
Disgwylfa Fawr
Disgwylfa Fawr is a hill in the Plynlimon range of mid Wales, known for its open moorland slopes and expansive views over the surrounding uplands.
- 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_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. |
Created at: March 8, 2026, 3:07 p.m.