Triple
T662928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunt Polly |
E11795
|
entity |
| Predicate | emotionType |
P13275
|
FINISHED |
| Object | affection for Tom Sawyer |
—
|
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: affection for Tom Sawyer | Statement: [Aunt Polly, emotionType, affection for Tom Sawyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionType Context triple: [Aunt Polly, emotionType, affection for Tom Sawyer]
-
A.
viewOnEmotion
chosen
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
B.
stance
Indicates the position, attitude, or viewpoint one entity holds toward another entity, issue, or proposition.
-
C.
joyLevel
Indicates the degree or intensity of joy experienced or expressed by an entity.
-
D.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
E.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd081e8819097f289961f5eff29 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.