Triple
T17125450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Maa |
E415581
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Maa TV
Maa TV is an Indian Telugu-language television channel known for its popular entertainment programming, including serials, reality shows, and films.
|
E1251301
|
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: Maa TV | Statement: [Star Maa, formerName, Maa TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maa TV Context triple: [Star Maa, formerName, Maa TV]
-
A.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
B.
İctimai Television
İctimai Television is Azerbaijan’s national public broadcaster, known internationally for organizing and airing major events such as the Eurovision Song Contest.
-
C.
Vijay TV
Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
-
D.
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.
-
E.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
- 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: Maa TV Triple: [Star Maa, formerName, Maa TV]
Generated description
Maa TV is an Indian Telugu-language television channel known for its popular entertainment programming, including serials, reality shows, and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maa TV Target entity description: Maa TV is an Indian Telugu-language television channel known for its popular entertainment programming, including serials, reality shows, and films.
-
A.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
B.
İctimai Television
İctimai Television is Azerbaijan’s national public broadcaster, known internationally for organizing and airing major events such as the Eurovision Song Contest.
-
C.
Vijay TV
Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
-
D.
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.
-
E.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f026ae188190b8c1e08529719878 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013a8e69388190b8d48d70a28e99bd |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:36 a.m.