Triple
T21583905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M6 |
E532592
|
entity |
| Predicate | terrestrialChannel |
P112830
|
FINISHED |
| Object |
Channel 6 (HD)
Channel 6 (HD) is the high-definition terrestrial broadcast version of the French television network M6.
|
E1492209
|
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: Channel 6 (HD) | Statement: [M6, terrestrialChannel, Channel 6 (HD)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channel 6 (HD) Context triple: [M6, terrestrialChannel, Channel 6 (HD)]
-
A.
GA Channel
GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
-
B.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
C.
Metro Channel
Metro Channel is a Philippine lifestyle and entertainment cable television network known for programs on travel, food, fashion, and culture.
-
D.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
-
E.
Channel 3
Channel 3 is an American punk rock band known for its melodic hardcore sound that emerged from the early 1980s Southern California punk scene.
- 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: Channel 6 (HD) Triple: [M6, terrestrialChannel, Channel 6 (HD)]
Generated description
Channel 6 (HD) is the high-definition terrestrial broadcast version of the French television network M6.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Channel 6 (HD) Target entity description: Channel 6 (HD) is the high-definition terrestrial broadcast version of the French television network M6.
-
A.
GA Channel
GA Channel is a software release track that delivers fully tested, production-ready features to all users as part of a product’s general availability phase.
-
B.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
C.
Metro Channel
Metro Channel is a Philippine lifestyle and entertainment cable television network known for programs on travel, food, fashion, and culture.
-
D.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
-
E.
Channel 3
Channel 3 is an American punk rock band known for its melodic hardcore sound that emerged from the early 1980s Southern California punk scene.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5f2cc0819095552de70eb2ad8d |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f67a9fa48190b4e456f9cfd730ea |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09fa927cc08190be79a4bca148c15d |
completed | May 17, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09faf9390481908e96a5a1bcd633bb |
completed | May 17, 2026, 5:29 p.m. |
Created at: April 16, 2026, 6:31 p.m.