Triple
T20417610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apna Sapna Money Money |
E500752
|
entity |
| Predicate | musicComposer |
P32102
|
FINISHED |
| Object | Pritam Chakraborty |
—
|
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: Pritam Chakraborty | Statement: [Apna Sapna Money Money, musicComposer, Pritam Chakraborty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pritam Chakraborty Context triple: [Apna Sapna Money Money, musicComposer, Pritam Chakraborty]
-
A.
Pritam Chakraborty
chosen
Pritam Chakraborty is a prominent Indian film composer and music director known for his hit soundtracks in contemporary Bollywood cinema.
-
B.
Pritam Das
Pritam Das is an Indian cricketer known for representing Assam in domestic cricket competitions.
-
C.
Salil Chowdhury
Salil Chowdhury was a renowned Indian music composer, lyricist, and writer celebrated for his innovative, melodious film scores across Bengali, Hindi, and other regional cinemas.
-
D.
Pritam
Pritam is the surname of Amrita Pritam, the renowned Indian Punjabi poet and novelist.
-
E.
Shekhar Chatterjee
Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.