Triple
T6159194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Hargensen |
E137397
|
entity |
| Predicate | refuses |
P59946
|
FINISHED |
| Object | to accept punishment for bullying Carrie White |
—
|
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: to accept punishment for bullying Carrie White | Statement: [Chris Hargensen, refuses, to accept punishment for bullying Carrie White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refuses Context triple: [Chris Hargensen, refuses, to accept punishment for bullying Carrie White]
-
A.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
B.
rejectedIn
Indicates that an entity or proposal was not accepted or was turned down within a specific context, process, or location.
-
C.
ultimatelyRefusesToKill
Indicates that an entity, despite prior opportunity or intent, finally decides not to kill another entity.
-
D.
refusedAction
chosen
Indicates that an entity deliberately declined or did not agree to perform a specific action requested, expected, or proposed by another entity.
-
E.
rejectedBecause
Indicates that one entity refused, dismissed, or did not accept another entity specifically due to a stated reason or cause.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.