Triple
T26786097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendall Perkins |
E670381
|
entity |
| Predicate | feelingsToward |
P82444
|
FINISHED |
| Object | secretly cares for Kick Buttowski |
—
|
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: secretly cares for Kick Buttowski | Statement: [Kendall Perkins, feelingsToward, secretly cares for Kick Buttowski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feelingsToward Context triple: [Kendall Perkins, feelingsToward, secretly cares for Kick Buttowski]
-
A.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
B.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
C.
emotionAssociation
chosen
Indicates an emotional relationship or connection that one entity has toward another entity or concept.
-
D.
attitudeTowardOthers
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
E.
emotionSpectrumAffiliation
Indicates an entity’s association or alignment with a particular range or category of emotions along an emotional spectrum.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6197fccd0819097d2a402003b05ab |
completed | May 2, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4:13 a.m.