Triple
T37768822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Ericsson K800 |
E941485
|
entity |
| Predicate | musicPlayer |
P197188
|
FINISHED |
| Object | MP3 player |
—
|
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: MP3 player | Statement: [Sony Ericsson K800, musicPlayer, MP3 player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicPlayer Context triple: [Sony Ericsson K800, musicPlayer, MP3 player]
-
A.
musicSource
Indicates that one entity serves as the origin or provider of music for another entity or context.
-
B.
musicFocus
Indicates that the primary attention or emphasis is directed toward music or musical aspects.
-
C.
playerControl
Indicates that one entity (typically a player) has control or command over another entity or object within a system or environment.
-
D.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
E.
musicTrack
Indicates a relationship where an entity is identified as a specific music track, typically representing an individual recorded piece of music.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69fe7b1b3460819081172731b52ac15b |
completed | May 9, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:19 p.m.