Triple
T7165316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayak |
E167052
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Premangshu Bose
Premangshu Bose is an actor known for his role in the Indian film "Nayak."
|
E687892
|
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: Premangshu Bose | Statement: [Nayak, castMember, Premangshu Bose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Premangshu Bose Context triple: [Nayak, castMember, Premangshu Bose]
-
A.
Bibhuti Bhushan Bose
Bibhuti Bhushan Bose was an Indian physicist known for his contributions to theoretical physics and his role in advancing scientific research and education in India.
-
B.
Pradip Kumar Bose
Pradip Kumar Bose is an individual notable for bearing the surname Bose, which is associated with several prominent figures from the Indian subcontinent.
-
C.
Pradip Bose
Pradip Bose is a computer engineer and researcher known for his contributions to microprocessor architecture and performance analysis, particularly at IBM.
-
D.
Abala Bose
Abala Bose was an Indian social worker and feminist known for her pioneering efforts in women's education and welfare in colonial India.
-
E.
Taraknath Bose
Taraknath Bose was an Indian revolutionary associated with the early nationalist and anti-colonial movements against British rule.
- 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: Premangshu Bose Triple: [Nayak, castMember, Premangshu Bose]
Generated description
Premangshu Bose is an actor known for his role in the Indian film "Nayak."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Premangshu Bose Target entity description: Premangshu Bose is an actor known for his role in the Indian film "Nayak."
-
A.
Bibhuti Bhushan Bose
Bibhuti Bhushan Bose was an Indian physicist known for his contributions to theoretical physics and his role in advancing scientific research and education in India.
-
B.
Pradip Kumar Bose
Pradip Kumar Bose is an individual notable for bearing the surname Bose, which is associated with several prominent figures from the Indian subcontinent.
-
C.
Pradip Bose
Pradip Bose is a computer engineer and researcher known for his contributions to microprocessor architecture and performance analysis, particularly at IBM.
-
D.
Abala Bose
Abala Bose was an Indian social worker and feminist known for her pioneering efforts in women's education and welfare in colonial India.
-
E.
Taraknath Bose
Taraknath Bose was an Indian revolutionary associated with the early nationalist and anti-colonial movements against British rule.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e832d2548190aacff0de80dbc268 |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7aa218081908cba76a4fdaa9f10 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c87bca908190a44e839824c23e95 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8e5e9f081908288b38ea25e81d2 |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 2:47 p.m.