Triple
T13937210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady of the Lake |
E335149
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Vivien |
E221621
|
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: Vivien | Statement: [The Lady of the Lake, hasAlias, Vivien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivien Context triple: [The Lady of the Lake, hasAlias, Vivien]
-
A.
Vivien
chosen
Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
-
B.
Vivian Burnett
Vivian Burnett was the son of British-American novelist Frances Hodgson Burnett, known primarily in relation to his mother's life and work.
-
C.
Violet Farrar
Violet Farrar is the daughter of American musician and producer Sam Farrar.
-
D.
Meryl
Meryl is the given name of American actress Mary Louise "Meryl" Streep, widely regarded as one of the greatest film actors of her generation.
-
E.
Vivian
Vivian is a given name used for people of any gender, derived from the Latin name Vivianus and commonly found in English-speaking countries.
- 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_69fba1c81e988190a5fd8e2d83e065fe |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.