Triple
T10478324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel 5 |
E247103
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
My5
My5 is Channel 5’s online streaming and catch-up service for watching its TV shows and related content on demand.
|
E247103
|
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: My5 | Statement: [Channel 5, hasService, My5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My5 Context triple: [Channel 5, hasService, My5]
-
A.
Mi TV
Mi TV is a line of smart televisions by Xiaomi that run on the Android TV platform, offering integrated streaming apps and smart features.
-
B.
Channel O
Channel O is a South African-based pan-African music television channel known for showcasing and promoting African music videos and artists across the continent.
-
C.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
D.
MOMOTV
MOMOTV is a Taiwanese sports and entertainment television channel known for broadcasting local professional basketball, including P. League+ games.
-
E.
MVY
MVY is the IATA airport code for Martha's Vineyard Airport, the primary commercial airport serving Martha's Vineyard in Massachusetts, USA.
- 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: My5 Triple: [Channel 5, hasService, My5]
Generated description
My5 is Channel 5’s online streaming and catch-up service for watching its TV shows and related content on demand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My5 Target entity description: My5 is Channel 5’s online streaming and catch-up service for watching its TV shows and related content on demand.
-
A.
Mi TV
Mi TV is a line of smart televisions by Xiaomi that run on the Android TV platform, offering integrated streaming apps and smart features.
-
B.
Channel O
Channel O is a South African-based pan-African music television channel known for showcasing and promoting African music videos and artists across the continent.
-
C.
Channel 5
chosen
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
D.
MOMOTV
MOMOTV is a Taiwanese sports and entertainment television channel known for broadcasting local professional basketball, including P. League+ games.
-
E.
MVY
MVY is the IATA airport code for Martha's Vineyard Airport, the primary commercial airport serving Martha's Vineyard in Massachusetts, USA.
- F. None of above.
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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509596a088190895199648ccf91a4 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a2f4bbec8190a5c508c6431d71b2 |
completed | April 10, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8aff34c7081909c3504e00f56d9ec |
completed | April 10, 2026, 8:08 a.m. |
Created at: April 6, 2026, 12:21 p.m.