Triple
T21944442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billu |
E541899
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Pritam |
—
|
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 | Statement: [Billu, musicBy, Pritam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pritam Context triple: [Billu, musicBy, Pritam]
-
A.
Pritam
Pritam is the surname of Amrita Pritam, the renowned Indian Punjabi poet and novelist.
-
B.
Pritam Chakraborty
chosen
Pritam Chakraborty is a prominent Indian film composer and music director known for his hit soundtracks in contemporary Bollywood cinema.
-
C.
Pritam Singh
Pritam Singh was the husband of renowned Punjabi writer and poet Amrita Pritam, known primarily in relation to her life and literary legacy.
-
D.
Pritam Singh
Pritam Singh is a Singaporean politician who serves as the Secretary-General of the Workers’ Party and Leader of the Opposition in Singapore’s Parliament.
-
E.
Tanishk Bagchi
Tanishk Bagchi is an Indian music composer and producer known for his work on numerous Bollywood film soundtracks and popular song remixes.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.