Triple
T16993946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Gold |
E412265
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object | Star Utsav |
E1244048
|
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 Utsav | Statement: [Star Gold, hasSisterChannel, Star Utsav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star Utsav Context triple: [Star Gold, hasSisterChannel, Star Utsav]
-
A.
Star Utsav
chosen
Star Utsav is an Indian Hindi-language television channel known for broadcasting reruns of popular Star network shows and family-oriented entertainment content.
-
B.
Utsab
Utsab is a Bengali film directed by Rituparno Ghosh that explores complex family dynamics during a festive gathering at an ancestral home.
-
C.
Utsav
Utsav is a 1984 Hindi film adaptation of the Sanskrit play "Mṛcchakatika," known for its period setting, bold themes, and Shashi Kapoor’s role as producer.
-
D.
Panchakki
Panchakki is a historic 17th-century water mill and garden complex in Aurangabad, Maharashtra, renowned for its ingenious underground water channel system and association with Sufi saint Baba Shah Musafir.
-
E.
Star Maa
Star Maa is a popular Telugu-language television channel in India known for its entertainment programming, including serials, reality shows, and movies.
- 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.