Triple
T33728363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Van Schuyler |
E864205
|
entity |
| Predicate | attitudeTowardLinnetDoyle |
P178378
|
FINISHED |
| Object | envious |
—
|
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: envious | Statement: [Miss Van Schuyler, attitudeTowardLinnetDoyle, envious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardLinnetDoyle Context triple: [Miss Van Schuyler, attitudeTowardLinnetDoyle, envious]
-
A.
attitudeTowardLeninaCrowne
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Lenina Crowne.
-
B.
attitudeTowardÁntonia
Indicates the stance, feelings, or evaluative disposition that one entity holds toward Ántonia.
-
C.
attitudeTowardHomerSmith
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Homer Smith.
-
D.
attitudeTowardCorneliaRobson
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Cornelia Robson.
-
E.
laterAttitudeTowardCathyLinton
Indicates the attitude or feelings an entity comes to hold toward Cathy Linton at a subsequent point in time, as opposed to an earlier or initial attitude.
- 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_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:44 a.m.