Triple
T29311351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claesz. |
E743240
|
entity |
| Predicate | spellingFeature |
P53251
|
FINISHED |
| Object | abbreviation with final period |
—
|
LITERAL 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: abbreviation with final period | Statement: [Claesz., spellingFeature, abbreviation with final period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spellingFeature Context triple: [Claesz., spellingFeature, abbreviation with final period]
-
A.
spellingGimmick
chosen
Indicates a distinctive or unconventional way of spelling something used for effect or branding rather than standard orthography.
-
B.
spellingStatus
Indicates the correctness or condition of the spelling of a given text or term.
-
C.
spellingStability
Indicates the degree to which the spelling of a word or term remains consistent over time or across different uses.
-
D.
spellingTechnique
Indicates a method or strategy used to spell words correctly.
-
E.
spellingIncludes
Indicates that the spelling of one entity contains, as a substring or component, the spelling of another entity.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665e5ade481908eac1b24726ba5b5 |
completed | May 2, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:17 p.m.