Triple
T12081365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavinia Penniman |
E287684
|
entity |
| Predicate | authorialAttitude |
P39728
|
FINISHED |
| Object | treated with irony by Henry James |
—
|
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: treated with irony by Henry James | Statement: [Lavinia Penniman, authorialAttitude, treated with irony by Henry James]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorialAttitude Context triple: [Lavinia Penniman, authorialAttitude, treated with irony by Henry James]
-
A.
hasAuthorialStance
chosen
Indicates that an entity expresses, embodies, or is associated with a particular author’s viewpoint, attitude, or perspective toward its subject matter.
-
B.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
C.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
-
D.
aspect
Indicates a specific temporal phase or manner in which an action, event, or state unfolds or is viewed (e.g., ongoing, completed, habitual).
-
E.
authorOfNarrativeWithinWork
Indicates that one entity is the creator or writer of a narrative that exists as a component or embedded story within a larger work.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.