Triple
T16993944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Gold |
E412265
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object | Star Plus |
E86241
|
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 Plus | Statement: [Star Gold, hasSisterChannel, Star Plus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star Plus Context triple: [Star Gold, hasSisterChannel, Star Plus]
-
A.
Star TV
chosen
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
-
B.
Vijay TV
Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
-
C.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
-
D.
Tata Sky
Tata Sky is an Indian direct-to-home (DTH) television service provider offering satellite TV and related digital entertainment services to households across India.
-
E.
Pluss
Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
- 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_6a011b433e688190ac8dda10638a197f |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.