Triple
T26088734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regenerating Degenerate |
E658058
|
entity |
| Predicate | emphasizesTone |
P49759
|
FINISHED |
| Object | irreverent |
—
|
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: irreverent | Statement: [Regenerating Degenerate, emphasizesTone, irreverent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesTone Context triple: [Regenerating Degenerate, emphasizesTone, irreverent]
-
A.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
emphasizesConsonanceOf
Indicates that one entity highlights, stresses, or draws attention to the harmony, agreement, or consonant relationship between itself and another entity.
-
C.
contributesToTone
chosen
Indicates that one entity plays a role in shaping, influencing, or determining the overall tone or mood of another entity.
-
D.
normativelyEmphasizes
Indicates that one entity highlights, prioritizes, or stresses another entity as a standard, value, or principle that ought to be followed or given special importance.
-
E.
leadingTone
Indicates that one musical pitch functions as a leading tone, creating a strong tendency to resolve stepwise (typically upward) to a specific target pitch.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 7:45 p.m.