Triple
T14016005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNT (French digital terrestrial television) |
E337204
|
entity |
| Predicate | includesChannel |
P8080
|
FINISHED |
| Object |
BFM TV
BFM TV is a major French 24-hour rolling news television channel known for live coverage of national and international events.
|
E1074546
|
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: BFM TV | Statement: [TNT (French digital terrestrial television), includesChannel, BFM TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BFM TV Context triple: [TNT (French digital terrestrial television), includesChannel, BFM TV]
-
A.
BFM
BFM is the IATA airport code for Mobile Downtown Airport, a public airport serving the Mobile, Alabama area.
-
B.
BFM Jazz
BFM Jazz is an independent jazz record label known for producing and promoting contemporary jazz artists and ensembles.
-
C.
FM4
FM4 is an Austrian national radio station known for its alternative music programming and youth-oriented cultural content.
-
D.
Bloomberg Radio
Bloomberg Radio is a 24-hour business and financial news radio network operated by Bloomberg L.P., featuring market updates, economic analysis, and interviews with industry leaders.
-
E.
Radio France
Radio France is France’s national public radio broadcaster, operating multiple nationwide stations that provide news, culture, music, and educational programming.
- 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: BFM TV Triple: [TNT (French digital terrestrial television), includesChannel, BFM TV]
Generated description
BFM TV is a major French 24-hour rolling news television channel known for live coverage of national and international events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BFM TV Target entity description: BFM TV is a major French 24-hour rolling news television channel known for live coverage of national and international events.
-
A.
BFM
BFM is the IATA airport code for Mobile Downtown Airport, a public airport serving the Mobile, Alabama area.
-
B.
BFM Jazz
BFM Jazz is an independent jazz record label known for producing and promoting contemporary jazz artists and ensembles.
-
C.
FM4
FM4 is an Austrian national radio station known for its alternative music programming and youth-oriented cultural content.
-
D.
Bloomberg Radio
Bloomberg Radio is a 24-hour business and financial news radio network operated by Bloomberg L.P., featuring market updates, economic analysis, and interviews with industry leaders.
-
E.
Radio France
Radio France is France’s national public radio broadcaster, operating multiple nationwide stations that provide news, culture, music, and educational programming.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbb4df903481908a760e6d7f47b15b |
completed | May 6, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb5a9abd88190b06abae5c7eff647 |
completed | May 6, 2026, 9:42 p.m. |
Created at: April 9, 2026, 10:19 p.m.