Triple
T13937209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady of the Lake |
E335149
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object |
Nyneve
Nyneve is a figure from Arthurian legend often identified with the enchantress and water spirit known as the Lady of the Lake.
|
E1069570
|
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: Nyneve | Statement: [The Lady of the Lake, hasAlias, Nyneve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyneve Context triple: [The Lady of the Lake, hasAlias, Nyneve]
-
A.
Ethelyn
Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
-
B.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
C.
Morwenna
Morwenna is a feminine given name of Cornish origin, traditionally associated with the meaning "waves of the sea" or "sea maiden."
-
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.
Glynis
Glynis is a feminine given name most notably associated with the British actress and singer Glynis Johns.
- 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: Nyneve Triple: [The Lady of the Lake, hasAlias, Nyneve]
Generated description
Nyneve is a figure from Arthurian legend often identified with the enchantress and water spirit known as the Lady of the Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyneve Target entity description: Nyneve is a figure from Arthurian legend often identified with the enchantress and water spirit known as the Lady of the Lake.
-
A.
Ethelyn
Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
-
B.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
C.
Morwenna
Morwenna is a feminine given name of Cornish origin, traditionally associated with the meaning "waves of the sea" or "sea maiden."
-
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.
Glynis
Glynis is a feminine given name most notably associated with the British actress and singer Glynis Johns.
- 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_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. |
| NEDg | Description generation | batch_69f7cf24c9d88190b6e93859cb3659ef |
completed | May 3, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cfa34a448190affb5b86efc37cf4 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 9, 2026, 10:17 p.m.