Triple
T3419125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDMI-CEC |
E72075
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
Viera Link
Viera Link is Panasonic’s brand name for its HDMI-CEC feature that lets compatible audio-video devices be controlled through a single TV remote over an HDMI connection.
|
E358088
|
NE FINISHED |
How this triple was built (4 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: Viera Link | Statement: [HDMI-CEC, marketedAs, Viera Link]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viera Link Context triple: [HDMI-CEC, marketedAs, Viera Link]
-
A.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
C.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
-
D.
Vladimira
Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
-
E.
Zoriana Skaletska
Zoriana Skaletska is a Ukrainian lawyer and public health expert who briefly served as Ukraine’s Minister of Health in the government of Oleksiy Honcharuk.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Viera Link Triple: [HDMI-CEC, marketedAs, Viera Link]
Generated description
Viera Link is Panasonic’s brand name for its HDMI-CEC feature that lets compatible audio-video devices be controlled through a single TV remote over an HDMI connection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viera Link Target entity description: Viera Link is Panasonic’s brand name for its HDMI-CEC feature that lets compatible audio-video devices be controlled through a single TV remote over an HDMI connection.
-
A.
Zora Vesecká
Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
-
B.
Zora Jandová
Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
-
C.
Zora Rozsypalová
Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
-
D.
Vladimira
Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
-
E.
Zoriana Skaletska
Zoriana Skaletska is a Ukrainian lawyer and public health expert who briefly served as Ukraine’s Minister of Health in the government of Oleksiy Honcharuk.
- F. None of above. chosen
Provenance (5 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94d6808819080997df30119e71e |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3546e710c8190a6b9523b77f6c893 |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b3584f321c8190841a96be2a6713e1 |
completed | March 13, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3591b7bc88190825dcd306541ae03 |
completed | March 13, 2026, 12:23 a.m. |
Created at: March 8, 2026, 3:15 p.m.