Triple
T33728362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Van Schuyler |
E864205
|
entity |
| Predicate | attitudeTowardCorneliaRobson |
P178111
|
FINISHED |
| Object | patronizing |
—
|
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: patronizing | Statement: [Miss Van Schuyler, attitudeTowardCorneliaRobson, patronizing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardCorneliaRobson Context triple: [Miss Van Schuyler, attitudeTowardCorneliaRobson, patronizing]
-
A.
attitudeTowardLeninaCrowne
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Lenina Crowne.
-
B.
narratorAttitudeTowardRose
Indicates the stance, feelings, or evaluative attitude that the narrator holds toward Rose.
-
C.
attitudeTowardÁntonia
Indicates the stance, feelings, or evaluative disposition that one entity holds toward Ántonia.
-
D.
attitudeTowardHomerSmith
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Homer Smith.
-
E.
relationshipToCoraMunro
Indicates the specific type of personal or social relationship an entity has with Cora Munro.
- F. None of above. chosen
Provenance (4 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:44 a.m.