Triple
T21699472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediaset |
E535616
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Boing (Italian TV channel)
Boing is an Italian free-to-air television channel primarily dedicated to children's and youth programming, operated under the Mediaset network.
|
E1496962
|
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: Boing (Italian TV channel) | Statement: [Mediaset, owns, Boing (Italian TV channel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boing (Italian TV channel) Context triple: [Mediaset, owns, Boing (Italian TV channel)]
-
A.
Bigudi TV channel
Bigudi TV channel is a Ukrainian television channel owned by the 1+1 Media Group, primarily targeting a female audience with entertainment and lifestyle programming.
-
B.
Boomerang TV
Boomerang TV is a Spanish television production company known for creating popular scripted series and telenovelas.
-
C.
RAI
RAI is the national state-owned railway company responsible for operating and managing Iran’s rail transport network.
-
D.
RAI
RAI is the station code for Station RAI, a railway stop identified by this three-letter abbreviation.
-
E.
RAI
RAI is the IATA airport code for Nelson Mandela International Airport, the main airport serving Praia in Cape Verde.
- 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: Boing (Italian TV channel) Triple: [Mediaset, owns, Boing (Italian TV channel)]
Generated description
Boing is an Italian free-to-air television channel primarily dedicated to children's and youth programming, operated under the Mediaset network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boing (Italian TV channel) Target entity description: Boing is an Italian free-to-air television channel primarily dedicated to children's and youth programming, operated under the Mediaset network.
-
A.
Bigudi TV channel
Bigudi TV channel is a Ukrainian television channel owned by the 1+1 Media Group, primarily targeting a female audience with entertainment and lifestyle programming.
-
B.
Boomerang TV
Boomerang TV is a Spanish television production company known for creating popular scripted series and telenovelas.
-
C.
RAI
RAI is the station code for Station RAI, a railway stop identified by this three-letter abbreviation.
-
D.
RAI
RAI is the national state-owned railway company responsible for operating and managing Iran’s rail transport network.
-
E.
RAI
RAI is the IATA airport code for Nelson Mandela International Airport, the main airport serving Praia in Cape Verde.
- 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.