Triple
T38129719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negaduck (Darkwing Duck) (voice) |
E952183
|
entity |
| Predicate | toneOfVoice |
P2000
|
FINISHED |
| Object | harsh |
—
|
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: harsh | Statement: [Negaduck (Darkwing Duck) (voice), toneOfVoice, harsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneOfVoice Context triple: [Negaduck (Darkwing Duck) (voice), toneOfVoice, harsh]
-
A.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
B.
voiceType
chosen
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
C.
intonation
Indicates the pattern or contour of pitch variation used when something is spoken or sung, often conveying emphasis, attitude, or sentence type.
-
D.
toneCategory
Indicates the tonal classification or type assigned to an entity, such as its pitch pattern, mood, or prosodic category.
-
E.
contributesToTone
Indicates that one entity plays a role in shaping, influencing, or determining the overall tone or mood of 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.