Triple
T520864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champaran Satyagraha |
E10811
|
entity |
| Predicate | supportedBy |
P67
|
FINISHED |
| Object |
Narhari Parikh
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
|
E66635
|
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: Narhari Parikh | Statement: [Champaran Satyagraha, supportedBy, Narhari Parikh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narhari Parikh Context triple: [Champaran Satyagraha, supportedBy, Narhari Parikh]
-
A.
Pradip Krishen
Pradip Krishen is an Indian filmmaker-turned-environmentalist and naturalist known for his documentaries and influential work on urban ecology and tree mapping in India.
-
B.
Dilip Hiro
Dilip Hiro is a British-based Indian author, journalist, and commentator known for his extensive writings on Middle Eastern politics, South Asia, and global geopolitics.
-
C.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
-
D.
Natarajan Shankar
Natarajan Shankar is a computer scientist known for his contributions to automated reasoning and formal methods, particularly in theorem proving and verification.
-
E.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
- 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: Narhari Parikh Triple: [Champaran Satyagraha, supportedBy, Narhari Parikh]
Generated description
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narhari Parikh Target entity description: Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
-
A.
Pradip Krishen
Pradip Krishen is an Indian filmmaker-turned-environmentalist and naturalist known for his documentaries and influential work on urban ecology and tree mapping in India.
-
B.
Dilip Hiro
Dilip Hiro is a British-based Indian author, journalist, and commentator known for his extensive writings on Middle Eastern politics, South Asia, and global geopolitics.
-
C.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
-
D.
Natarajan Shankar
Natarajan Shankar is a computer scientist known for his contributions to automated reasoning and formal methods, particularly in theorem proving and verification.
-
E.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a1817c8190a6cc8f423071d3ad |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8a96a188190b7a6be463de3d736 |
completed | March 1, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69a4baa85b9881908f0a9373f06ed748 |
completed | March 1, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4bb9d75288190b8c68db7bfe59c1d |
completed | March 1, 2026, 10:20 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.