Triple
T497206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolby Stereo |
E10319
|
entity |
| Predicate | channelConfiguration |
P2093
|
FINISHED |
| Object | Left |
—
|
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: Left | Statement: [Dolby Stereo, channelConfiguration, Left]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelConfiguration Context triple: [Dolby Stereo, channelConfiguration, Left]
-
A.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
B.
configuration
chosen
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
C.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
D.
sisterChannel
Indicates that one channel is a sibling or counterpart to another channel, typically under the same ownership or network.
-
E.
hasChannel
Indicates that one entity possesses, provides, or is associated with a particular communication or distribution channel.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f116f1b4819082f88d6c747368ae |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edfa87cc8190a77c726a5a55b7d9 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.