Triple
T3727910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouView |
E78992
|
entity |
| Predicate | hasPartner |
P1136
|
FINISHED |
| Object |
Humax
Humax is a consumer electronics company best known for manufacturing digital TV set-top boxes and related home entertainment devices.
|
E384764
|
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: Humax | Statement: [YouView, hasPartner, Humax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humax Context triple: [YouView, hasPartner, Humax]
-
A.
Vizio
Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
-
B.
Bravia
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
C.
Sharp Corporation
Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
-
D.
Panasonic
Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
-
E.
Hitachi
Hitachi is a Japanese multinational conglomerate known for its wide range of businesses spanning information technology, infrastructure, industrial systems, and consumer electronics.
- 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: Humax Triple: [YouView, hasPartner, Humax]
Generated description
Humax is a consumer electronics company best known for manufacturing digital TV set-top boxes and related home entertainment devices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humax Target entity description: Humax is a consumer electronics company best known for manufacturing digital TV set-top boxes and related home entertainment devices.
-
A.
Vizio
Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
-
B.
Bravia
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
C.
Sharp Corporation
Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
-
D.
Panasonic
Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
-
E.
Hitachi
Hitachi is a Japanese multinational conglomerate known for its wide range of businesses spanning information technology, infrastructure, industrial systems, and consumer electronics.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf921bc81908bb347d6b9204670 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1102a08190b5965c474dfab6db |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dc11101881909fe33e7675fc24a1 |
completed | March 14, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dfbfd4248190b112cd4ef8ab9c5f |
completed | March 14, 2026, 4:10 a.m. |
Created at: March 8, 2026, 3:34 p.m.