Triple
T18893299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acun Ilıcalı |
E462146
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
TV8
TV8 is a Turkish television channel best known for broadcasting popular entertainment and reality shows produced by media mogul Acun Ilıcalı.
|
E1347895
|
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: TV8 | Statement: [Acun Ilıcalı, knownFor, TV8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV8 Context triple: [Acun Ilıcalı, knownFor, TV8]
-
A.
TV1
TV1 was the original name of SVT1, the primary television channel of Sweden's public broadcaster Sveriges Television.
-
B.
TVN
TVN is Chile's main public television network, known for its nationwide news, entertainment, and cultural programming.
-
C.
TV3
TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
-
D.
TV21
TV21 is a British science-fiction comic magazine from the 1960s best known for featuring stories based on Gerry and Sylvia Anderson’s Supermarionation TV series such as Thunderbirds and Captain Scarlet.
-
E.
TVING
TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
- 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: TV8 Triple: [Acun Ilıcalı, knownFor, TV8]
Generated description
TV8 is a Turkish television channel best known for broadcasting popular entertainment and reality shows produced by media mogul Acun Ilıcalı.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV8 Target entity description: TV8 is a Turkish television channel best known for broadcasting popular entertainment and reality shows produced by media mogul Acun Ilıcalı.
-
A.
TV1
TV1 was the original name of SVT1, the primary television channel of Sweden's public broadcaster Sveriges Television.
-
B.
TVN
TVN is Chile's main public television network, known for its nationwide news, entertainment, and cultural programming.
-
C.
TV3
TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
-
D.
TV21
TV21 is a British science-fiction comic magazine from the 1960s best known for featuring stories based on Gerry and Sylvia Anderson’s Supermarionation TV series such as Thunderbirds and Captain Scarlet.
-
E.
TVING
TVING is a South Korean online streaming platform offering a wide range of domestic films, dramas, and entertainment content.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47d392c81909297211c7d7610a1 |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582b75c708190b8ba4cb05a475899 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a058659f5988190a4c5921a74a5e917 |
completed | May 14, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0586d4df588190a33e60b103a5847e |
completed | May 14, 2026, 8:24 a.m. |
Created at: April 10, 2026, 11:58 a.m.