Triple
T27598629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beisner-Buck |
E699972
|
entity |
| Predicate | spellingForm |
P85535
|
FINISHED |
| Object | Beisner-Buck |
—
|
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: Beisner-Buck | Statement: [Beisner-Buck, spellingForm, Beisner-Buck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spellingForm Context triple: [Beisner-Buck, spellingForm, Beisner-Buck]
-
A.
grammaticalForm
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
-
B.
spellingStatus
Indicates the correctness or condition of the spelling of a given text or term.
-
C.
spellingStyle
chosen
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
-
D.
compositionalForm
Indicates the structural or formal composition that defines how parts are organized or combined within something.
-
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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:07 p.m.