Triple
T12643901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 8800 Carbon Arte |
E301968
|
entity |
| Predicate | hasMusicPlayer |
P86717
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nokia 8800 Carbon Arte, hasMusicPlayer, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicPlayer Context triple: [Nokia 8800 Carbon Arte, hasMusicPlayer, yes]
-
A.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
B.
hasMediaPlayer
chosen
Indicates that an entity is equipped with or associated with a media player capable of playing audio or video content.
-
C.
supportsMusicPlayer
Indicates that one entity provides compatibility with or functionality for operating a music player associated with another entity.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:17 p.m.