Triple
T36578013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola C139 |
E902309
|
entity |
| Predicate | hasMP3Player |
P86717
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Motorola C139, hasMP3Player, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMP3Player Context triple: [Motorola C139, hasMP3Player, no]
-
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.
hasMusicArm
Indicates that an entity possesses a specialized component or extension (an "arm") used for producing, controlling, or interacting with music.
-
D.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
E.
hasMusicUnit
Indicates that one entity includes, is associated with, or is organized into a specific musical unit (such as a band, ensemble, or musical subgroup).
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.