Triple
T14441247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anynet+ |
E358086
|
entity |
| Predicate | tradeNameOf |
P24597
|
FINISHED |
| Object | Samsung HDMI-CEC feature |
—
|
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: Samsung HDMI-CEC feature | Statement: [Anynet+, tradeNameOf, Samsung HDMI-CEC feature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeNameOf Context triple: [Anynet+, tradeNameOf, Samsung HDMI-CEC feature]
-
A.
tradeNameIncludes
Indicates that a trade name contains another name or term as part of its full designation.
-
B.
isTradeNameOf
chosen
Indicates that one name is a commercial or brand designation used for a product, substance, or entity that may also have a different generic or formal name.
-
C.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
-
D.
hasTradeName
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
-
E.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.