Triple
T13937206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady of the Lake |
E335149
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Nimue |
E185162
|
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: Nimue | Statement: [The Lady of the Lake, hasAlias, Nimue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimue Context triple: [The Lady of the Lake, hasAlias, Nimue]
-
A.
Nimue
chosen
Nimue is a sorceress of Arthurian legend, often portrayed as the Lady of the Lake who enchants and imprisons the wizard Merlin.
-
B.
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.
-
C.
Elysette
Elysette is the official residence of the Minister-President of Wallonia, located in Namur, Belgium.
-
D.
Nerissa
Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
-
E.
Vala Mal Doran
Vala Mal Doran is a roguish, quick-witted former thief and con artist who becomes an ally and later a member of the SG-1 team in the science fiction television series Stargate SG-1.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce880a98819086ae25d3408bc723 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.