Triple
T25975486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K.R. Dwyer |
E645924
|
entity |
| Predicate | usedAsAuthorNameOn |
P13305
|
FINISHED |
| Object | paperback originals |
—
|
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: paperback originals | Statement: [K.R. Dwyer, usedAsAuthorNameOn, paperback originals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsAuthorNameOn Context triple: [K.R. Dwyer, usedAsAuthorNameOn, paperback originals]
-
A.
usedPseudonym
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
-
B.
nameUsedFor
Indicates that a particular name is used to refer to or designate a given entity.
-
C.
usedByAuthor
Indicates that something (such as a method, tool, or resource) is employed or utilized by an author.
-
D.
nameUsedIn
chosen
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
E.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 22, 2026, 8:51 a.m.