Triple
T21944704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maachis |
E541905
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Sanjib Datta
Sanjib Datta is an Indian film editor best known for his work on acclaimed Hindi films such as the political drama "Maachis."
|
E1513029
|
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: Sanjib Datta | Statement: [Maachis, editor, Sanjib Datta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjib Datta Context triple: [Maachis, editor, Sanjib Datta]
-
A.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
B.
Sanjib Saha
Sanjib Saha is a person notable enough to be recognized as a namesake of the surname Saha.
-
C.
Sanjib Bose
Sanjib Bose is an individual notable for bearing the surname Bose, associated with the broader Bose family name.
-
D.
Sanjib Bhattacharyya
Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
-
E.
Sudip Bandyopadhyay
Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
- 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: Sanjib Datta Triple: [Maachis, editor, Sanjib Datta]
Generated description
Sanjib Datta is an Indian film editor best known for his work on acclaimed Hindi films such as the political drama "Maachis."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjib Datta Target entity description: Sanjib Datta is an Indian film editor best known for his work on acclaimed Hindi films such as the political drama "Maachis."
-
A.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
B.
Sanjib Saha
Sanjib Saha is a person notable enough to be recognized as a namesake of the surname Saha.
-
C.
Sanjib Bose
Sanjib Bose is an individual notable for bearing the surname Bose, associated with the broader Bose family name.
-
D.
Sanjib Bhattacharyya
Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
-
E.
Sudip Bandyopadhyay
Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a736619388190b9f1bd7cc4cf97e8 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a744b20d48190a5dc20d9442f075b |
completed | May 18, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75011178819089d94f745a38a6e6 |
completed | May 18, 2026, 2:10 a.m. |
Created at: April 16, 2026, 7:56 p.m.