Triple
T22796500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barakude |
E564260
|
entity |
| Predicate | hasStyleOfPlay |
P3775
|
FINISHED |
| Object | aggressive |
—
|
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: aggressive | Statement: [Barakude, hasStyleOfPlay, aggressive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStyleOfPlay Context triple: [Barakude, hasStyleOfPlay, aggressive]
-
A.
styleOfPlay
chosen
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
B.
hasPlayType
Indicates the type or category of play associated with an event, action, or performance.
-
C.
hasJockeyRidingStyle
Indicates that a jockey is associated with a particular riding style they use during races.
-
D.
hasStyleCharacteristics
Indicates that one entity exhibits or embodies the stylistic features, traits, or qualities associated with another entity.
-
E.
typeOfPlayStrength
Indicates the relative intensity or power level with which a play or move is executed or characterized.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd9b3c0819096050f43a829ec0d |
completed | April 29, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:30 p.m.