Triple
T10210155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faber |
E242303
|
entity |
| Predicate | feelsGuiltAbout |
P62179
|
FINISHED |
| Object | Not opposing censorship earlier |
—
|
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: Not opposing censorship earlier | Statement: [Faber, feelsGuiltAbout, Not opposing censorship earlier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feelsGuiltAbout Context triple: [Faber, feelsGuiltAbout, Not opposing censorship earlier]
-
A.
guiltyOf
Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
-
B.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
C.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
D.
contritionType
Indicates the specific kind or category of contrition (remorse or repentance) associated with an action or state.
-
E.
laterRegretted
chosen
Indicates that an entity experienced regret at a later time about a prior action, decision, or state involving another entity.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:01 a.m.