Triple
T35215052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vengeful One |
E1016795
|
entity |
| Predicate | hasAggressiveSound |
P182982
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Vengeful One, hasAggressiveSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAggressiveSound Context triple: [The Vengeful One, hasAggressiveSound, true]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
-
C.
hasStrongerAcousticSound
Indicates that one entity produces a louder or more intense acoustic sound than another entity.
-
D.
hasAggressiveVocals
Indicates that the subject produces or features vocals delivered in an intense, harsh, or forceful manner.
-
E.
hasCatchySound
Indicates that something possesses an appealing, memorable, or attractive auditory quality.
- F. None of above. chosen
Provenance (4 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:02 p.m.