Triple
T4762625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavani |
E105731
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Tamasha |
E102184
|
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: Tamasha | Statement: [Lavani, associatedWith, Tamasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamasha Context triple: [Lavani, associatedWith, Tamasha]
-
A.
Tamasha
chosen
Tamasha is a traditional Marathi folk theatre form from Maharashtra, India, known for its lively blend of music, dance, and dramatic performance.
-
B.
Launda Naach
Launda Naach is a traditional North Indian folk performance genre, especially popular in the Bhojpuri-speaking region, featuring male dancers often dressed as women who combine dance, music, and comic or satirical skits.
-
C.
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
-
D.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
-
E.
Hum Dekhenge
"Hum Dekhenge" is a famous Urdu revolutionary poem by Faiz Ahmed Faiz that has become an enduring anthem of resistance and hope against oppression.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd651091cc81909b835439c85e842f |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a81c9dc8190b9e7f399ac1de268 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:20 p.m.