Triple
T25460024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelly |
E638018
|
entity |
| Predicate | spelling variant of |
P457
|
FINISHED |
| Object | Nellie |
—
|
NE NERFINISHED |
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: Nellie | Statement: [Nelly, spelling variant of, Nellie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spelling variant of Context triple: [Nelly, spelling variant of, Nellie]
-
A.
hasVariantSpelling
chosen
Indicates that one term is an alternative spelling form of another term.
-
B.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
C.
spellingReplacedBy
Indicates that one spelling of a term has been superseded or substituted by another spelling.
-
D.
isSometimesUsedAsVariantOf
Indicates that one entity is occasionally employed as an alternative or substitute form of another entity, but not as its primary or standard version.
-
E.
spellingStyle
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
- F. None of above.
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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72a452c8190b53c90a8a725dd69 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:11 p.m.