Triple
T7660309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aparna Sen |
E173486
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sanjay Sen
Sanjay Sen is known primarily as the husband of acclaimed Indian filmmaker and actress Aparna Sen.
|
E683209
|
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: Sanjay Sen | Statement: [Aparna Sen, spouse, Sanjay Sen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay Sen Context triple: [Aparna Sen, spouse, Sanjay Sen]
-
A.
Uttam Kumar
Uttam Kumar was a legendary Indian actor and cultural icon, widely regarded as the greatest star of Bengali cinema.
-
B.
Sanjeev Bhaskar
Sanjeev Bhaskar is a British comedian, actor, and writer best known for his work on the sketch show "Goodness Gracious Me" and the sitcom "The Kumars at No. 42."
-
C.
Sanjeev Kumar
Sanjeev Kumar was a highly acclaimed Indian film actor known for his versatile performances in both mainstream and parallel cinema during the 1960s and 1970s.
-
D.
Sunil Dutt
Sunil Dutt was a prominent Indian film actor, producer, and politician known for his humanitarian work and long association with the Indian National Congress.
-
E.
Dulal Dutta
Dulal Dutta was an Indian film editor best known for his long-standing collaboration with director Satyajit Ray on several landmark Bengali films.
- 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: Sanjay Sen Triple: [Aparna Sen, spouse, Sanjay Sen]
Generated description
Sanjay Sen is known primarily as the husband of acclaimed Indian filmmaker and actress Aparna Sen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjay Sen Target entity description: Sanjay Sen is known primarily as the husband of acclaimed Indian filmmaker and actress Aparna Sen.
-
A.
Uttam Kumar
Uttam Kumar was a legendary Indian actor and cultural icon, widely regarded as the greatest star of Bengali cinema.
-
B.
Sanjeev Bhaskar
Sanjeev Bhaskar is a British comedian, actor, and writer best known for his work on the sketch show "Goodness Gracious Me" and the sitcom "The Kumars at No. 42."
-
C.
Sanjeev Kumar
Sanjeev Kumar was a highly acclaimed Indian film actor known for his versatile performances in both mainstream and parallel cinema during the 1960s and 1970s.
-
D.
Sunil Dutt
Sunil Dutt was a prominent Indian film actor, producer, and politician known for his humanitarian work and long association with the Indian National Congress.
-
E.
Dulal Dutta
Dulal Dutta was an Indian film editor best known for his long-standing collaboration with director Satyajit Ray on several landmark Bengali films.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9527088190b3d7fd0987e66f35 |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8ae258a7081909bd30259a368d865 |
completed | March 29, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aebc46e481908872d0c4c77345b5 |
completed | March 29, 2026, 4:46 a.m. |
Created at: March 27, 2026, 3:59 p.m.