Triple
T11022907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal Bose |
E260534
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Do Bigha Zamin |
E632411
|
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: Do Bigha Zamin | Statement: [Kamal Bose, notableWork, Do Bigha Zamin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do Bigha Zamin Context triple: [Kamal Bose, notableWork, Do Bigha Zamin]
-
A.
Do Bigha Zamin
chosen
Do Bigha Zamin is a landmark 1953 Indian neorealist drama film directed by Bimal Roy that portrays the struggles of a poor farmer fighting to save his small plot of land from a ruthless landlord.
-
B.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
C.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
D.
Ghum
Ghum is a small hill station in West Bengal, India, known for its high-altitude railway station on the Darjeeling Himalayan Railway and its scenic views of the surrounding Himalayas.
-
E.
Lagaan
Lagaan is a critically acclaimed 2001 Indian epic sports drama film set in colonial India, known for its blend of cricket, music, and anti-colonial resistance.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:25 p.m.