Triple
T7560643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan |
E178785
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Morgane |
E67333
|
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: Morgane | Statement: [Morgan, hasVariant, Morgane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgane Context triple: [Morgan, hasVariant, Morgane]
-
A.
Nimue
Nimue is a sorceress of Arthurian legend, often portrayed as the Lady of the Lake who enchants and imprisons the wizard Merlin.
-
B.
Elysette
Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
-
C.
Éliante
Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
-
D.
Yvaine
Yvaine is the fallen star and central heroine of Neil Gaiman’s fantasy novel (and its film adaptation) "Stardust," whose journey intertwines magic, romance, and adventure.
-
E.
Morgan le Fay
chosen
Morgan le Fay is a powerful enchantress of Arthurian legend, often depicted as King Arthur’s half-sister and a complex figure who alternates between adversary and ally to the knights of the Round Table.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8dd96488190b4cca25ae8f7f95c |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856cc869081909555ae03dec52288 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.