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.