Triple
T21699474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediaset |
E535616
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
TGcom24
TGcom24 is an Italian 24-hour all-news television channel and online news platform providing continuous coverage of national and international current events.
|
E1496963
|
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: TGcom24 | Statement: [Mediaset, owns, TGcom24]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGcom24 Context triple: [Mediaset, owns, TGcom24]
-
A.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
-
B.
AGCOM
AGCOM is Italy’s independent communications authority responsible for regulating the telecommunications, broadcasting, and media sectors.
-
C.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
D.
Megacom
Megacom is a leading telecommunications company in Kyrgyzstan that provides widespread mobile and internet services across the country.
-
E.
Sogetel
Sogetel is a film and television production company known for producing European, particularly French-language, cinematic works.
- 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: TGcom24 Triple: [Mediaset, owns, TGcom24]
Generated description
TGcom24 is an Italian 24-hour all-news television channel and online news platform providing continuous coverage of national and international current events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGcom24 Target entity description: TGcom24 is an Italian 24-hour all-news television channel and online news platform providing continuous coverage of national and international current events.
-
A.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
-
B.
AGCOM
AGCOM is Italy’s independent communications authority responsible for regulating the telecommunications, broadcasting, and media sectors.
-
C.
T-Mo
T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
D.
Megacom
Megacom is a leading telecommunications company in Kyrgyzstan that provides widespread mobile and internet services across the country.
-
E.
Sogetel
Sogetel is a film and television production company known for producing European, particularly French-language, cinematic works.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7de9888190bbca7717a32f9888 |
completed | April 27, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e2755708190afd098c5c673c1f0 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1f457fc48190a36c6cf8934fd5d3 |
completed | May 17, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fc13900819098ee66684dfdff95 |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:45 p.m.