Triple
T22846658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bappi Lahiri |
E566238
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Bappi Da |
—
|
NE NERFINISHED |
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: Bappi Da | Statement: [Bappi Lahiri, alias, Bappi Da]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bappi Da Context triple: [Bappi Lahiri, alias, Bappi Da]
-
A.
Bappi Lahiri
chosen
Bappi Lahiri was a popular Indian music composer and singer known for pioneering disco-influenced film soundtracks in Bollywood during the 1980s and 1990s.
-
B.
Bendre
Bendre is a celebrated Kannada poet and writer, renowned for his lyrical and modernist contributions to 20th-century Kannada literature.
-
C.
Arrajan
Arrajan was a historically significant town in southwestern Iran, known in medieval times as an administrative and commercial center in the region of Fars/Khuzestan.
-
D.
Sharman Joshi
Sharman Joshi is an Indian film and theatre actor known for his versatile performances in Hindi cinema, including notable roles in acclaimed films like "3 Idiots" and "Golmaal."
-
E.
DJ Babu
DJ Babu is a hip-hop DJ and producer best known as a member of the Beat Junkies and the group Dilated Peoples, recognized for his influential turntablism and production work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.