Triple
T21943942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paan Singh Tomar |
E541888
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Aseem Mishra
Aseem Mishra is an Indian cinematographer known for his work on acclaimed Hindi films, including collaborations with director Tigmanshu Dhulia and others.
|
E1508924
|
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: Aseem Mishra | Statement: [Paan Singh Tomar, cinematographyBy, Aseem Mishra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aseem Mishra Context triple: [Paan Singh Tomar, cinematographyBy, Aseem Mishra]
-
A.
Aseem Shukla
Aseem Shukla is an Indian American urologic surgeon and public advocate known for co-founding and promoting the Hindu American Foundation.
-
B.
Aseem Kishore
Aseem Kishore is a technology writer and blogger known for creating practical guides and tutorials on software, web development, and digital tools.
-
C.
Aseem Sinha
Aseem Sinha is a film editor known for his work on the acclaimed Hindi film "Suraj Ka Satvan Ghoda."
-
D.
Vinay Mishra
Vinay Mishra is an Indian politician serving as a Member of the Legislative Assembly (MLA) from the Dwarka constituency in Delhi.
-
E.
Akhilendra Mishra
Akhilendra Mishra is an Indian film and television actor known for his character roles in Hindi cinema and TV, including notable performances in movies like Lagaan and Sarfarosh.
- 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: Aseem Mishra Triple: [Paan Singh Tomar, cinematographyBy, Aseem Mishra]
Generated description
Aseem Mishra is an Indian cinematographer known for his work on acclaimed Hindi films, including collaborations with director Tigmanshu Dhulia and others.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aseem Mishra Target entity description: Aseem Mishra is an Indian cinematographer known for his work on acclaimed Hindi films, including collaborations with director Tigmanshu Dhulia and others.
-
A.
Aseem Shukla
Aseem Shukla is an Indian American urologic surgeon and public advocate known for co-founding and promoting the Hindu American Foundation.
-
B.
Aseem Kishore
Aseem Kishore is a technology writer and blogger known for creating practical guides and tutorials on software, web development, and digital tools.
-
C.
Aseem Sinha
Aseem Sinha is a film editor known for his work on the acclaimed Hindi film "Suraj Ka Satvan Ghoda."
-
D.
Vinay Mishra
Vinay Mishra is an Indian politician serving as a Member of the Legislative Assembly (MLA) from the Dwarka constituency in Delhi.
-
E.
Akhilendra Mishra
Akhilendra Mishra is an Indian film and television actor known for his character roles in Hindi cinema and TV, including notable performances in movies like Lagaan and Sarfarosh.
- 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_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60ee7cc48190bf32574b758c6425 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6170bc5c8190b6b28e02675da476 |
completed | May 18, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a61f66a988190b07a9e36cacf44bf |
completed | May 18, 2026, 12:48 a.m. |
Created at: April 16, 2026, 7:56 p.m.