Triple
T16994062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay TV |
E412268
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Star India |
E88449
|
NE FINISHED |
How this triple was built (2 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: Star India | Statement: [Vijay TV, owner, Star India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star India Context triple: [Vijay TV, owner, Star India]
-
A.
Star India
chosen
Star India is a major Indian media and entertainment company known for its extensive portfolio of television channels and digital streaming services across multiple languages and genres.
-
B.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
C.
India
"India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
-
D.
Indi
Indi is an Australian federal electoral division in the state of Victoria, encompassing a largely rural and regional area in the state's northeast.
-
E.
Indienne
Indienne was a French naval ship that took part in the early 19th-century Battle of the Basque Roads during the Napoleonic Wars.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d28535788190bdfcb6201a9024b5 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233134288190bbe151f257150dfb |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.