Triple
T30077965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Power |
E764374
|
entity |
| Predicate | usedInAcademicWriting |
P6966
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [W. Power, usedInAcademicWriting, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAcademicWriting Context triple: [W. Power, usedInAcademicWriting, yes]
-
A.
academicUse
Indicates that something is intended for, suitable for, or used within an academic or educational context.
-
B.
usedInWritingFor
Indicates that something (e.g., a tool, material, or medium) is employed as part of the process or context of writing for a particular purpose or audience.
-
C.
usedInWriting
Indicates that something (such as a tool, material, or medium) is employed as part of the process or act of writing.
-
D.
scholarlyUse
chosen
Indicates that something is used for academic, educational, or research-related purposes.
-
E.
usedInManuscripts
Indicates that something (such as a term, symbol, or feature) appears or is employed within one or more manuscripts.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 29, 2026, 7:02 p.m.