Triple
T11022891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal Bose |
E260534
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Parakh
Parakh is a 1960 Hindi social satire film directed by Bimal Roy, celebrated for its critique of corruption and its nuanced portrayal of rural Indian life.
|
E900385
|
NE FINISHED |
How this triple was built (4 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: Parakh | Statement: [Kamal Bose, notableWork, Parakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parakh Context triple: [Kamal Bose, notableWork, Parakh]
-
A.
Tharkha
Tharkha is a traditional musical form or instrument associated with the cultural heritage and folk music of the Bodo people of Northeast India.
-
B.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
C.
Araval
Araval was a King of Gondor from J.R.R. Tolkien’s legendarium, a descendant of Isildur who ruled during the later Third Age.
-
D.
Sahodhari
Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
-
E.
Dharni
Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parakh Triple: [Kamal Bose, notableWork, Parakh]
Generated description
Parakh is a 1960 Hindi social satire film directed by Bimal Roy, celebrated for its critique of corruption and its nuanced portrayal of rural Indian life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parakh Target entity description: Parakh is a 1960 Hindi social satire film directed by Bimal Roy, celebrated for its critique of corruption and its nuanced portrayal of rural Indian life.
-
A.
Tharkha
Tharkha is a traditional musical form or instrument associated with the cultural heritage and folk music of the Bodo people of Northeast India.
-
B.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
C.
Araval
Araval was a King of Gondor from J.R.R. Tolkien’s legendarium, a descendant of Isildur who ruled during the later Third Age.
-
D.
Sahodhari
Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
-
E.
Dharni
Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.