Triple
T25426228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALAC |
E637122
|
entity |
| Predicate | supportsDRMViaContainer |
P179893
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ALAC, supportsDRMViaContainer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDRMViaContainer Context triple: [ALAC, supportsDRMViaContainer, true]
-
A.
usesDRM
Indicates that one entity applies digital rights management (DRM) controls or technologies to another entity (such as content, software, or media).
-
B.
hasDedicatedMediaKeys
Indicates that an input device includes specific keys assigned to control media functions (such as play, pause, volume, or track navigation).
-
C.
supportsPhysicalMedia
Indicates that one entity provides the capability to use, read, or handle physical media formats (such as discs, tapes, or printed materials) associated with another entity.
-
D.
supportsH264
Indicates that one entity provides compatibility with, or the ability to encode/decode or process, H.264 video for another entity.
-
E.
supportsVideoPlayback
Indicates that an entity is capable of playing or rendering video content.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 21, 2026, 1:57 p.m.