Triple
T28698417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rasmusen |
E729477
|
entity |
| Predicate | hasTypicalSpellingVariant |
P56633
|
FINISHED |
| Object | Rasmussen |
—
|
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: Rasmussen | Statement: [Rasmusen, hasTypicalSpellingVariant, Rasmussen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSpellingVariant Context triple: [Rasmusen, hasTypicalSpellingVariant, Rasmussen]
-
A.
hasVariantSpelling
Indicates that one term is an alternative spelling form of another term.
-
B.
hasTypicalSpelling
chosen
Indicates that one form is the standard or commonly accepted spelling of another form.
-
C.
spellingVariantPattern
Indicates a relationship where one form of a word is a systematic spelling variant of another, following a recognizable pattern of orthographic change.
-
D.
hasSpellingVariantFrequency
Indicates a relationship where one spelling variant of a term is associated with how often it occurs relative to other variants.
-
E.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 28, 2026, 5:40 a.m.