Triple
T38129736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negaduck (Darkwing Duck) (voice) |
E952183
|
entity |
| Predicate | characterMannerOfSpeech |
P192376
|
FINISHED |
| Object | sarcastic |
—
|
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: sarcastic | Statement: [Negaduck (Darkwing Duck) (voice), characterMannerOfSpeech, sarcastic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterMannerOfSpeech Context triple: [Negaduck (Darkwing Duck) (voice), characterMannerOfSpeech, sarcastic]
-
A.
hasSpeakingStyle
chosen
Indicates that one entity exhibits or is characterized by a particular manner or style of speaking in relation to another entity.
-
B.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
C.
styleCharacter
Indicates that one entity defines, influences, or characterizes the stylistic qualities or manner of expression of another entity.
-
D.
characterPersona
Indicates that one entity embodies, represents, or assumes the persona, role, or character identity specified by another entity.
-
E.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
- 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_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 3, 2026, 4:21 p.m.