Triple
T20482029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibanez Universe |
E502478
|
entity |
| Predicate | notableFinish |
P60823
|
FINISHED |
| Object | multicolor swirl finishes |
—
|
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: multicolor swirl finishes | Statement: [Ibanez Universe, notableFinish, multicolor swirl finishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFinish Context triple: [Ibanez Universe, notableFinish, multicolor swirl finishes]
-
A.
notableWin
Indicates that one entity achieved a particularly significant or distinguished victory over another or in a specific event.
-
B.
notableOutcome
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
-
C.
notableEnding
chosen
Indicates that an entity concludes or finishes in a way that is remarkable, memorable, or otherwise noteworthy.
-
D.
notableWinner
Indicates that the subject is a particularly distinguished or prominent winner of the referenced competition, award, or contest.
-
E.
notablePass
Indicates that one entity is recognized for having successfully passed or cleared another entity, such as a test, threshold, or evaluation, in a notably significant way.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:34 a.m.