Triple
T8455918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive Writers Movement |
E199917
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Krishan Chander
Krishan Chander was a prominent 20th-century Urdu and Hindi writer and satirist known for his socially conscious short stories and novels.
|
E748264
|
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: Krishan Chander | Statement: [Progressive Writers Movement, hasNotableMember, Krishan Chander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krishan Chander Context triple: [Progressive Writers Movement, hasNotableMember, Krishan Chander]
-
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.
Haresh Chandra
Haresh Chandra is an individual known primarily in this context as the child of Rani Chandra.
-
C.
Inder Verma
Inder Verma is an Indian-American molecular biologist known for his pioneering work in gene therapy and cancer genetics.
-
D.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
-
E.
Vanraj Bhatia
Vanraj Bhatia was an acclaimed Indian composer known for his pioneering work in parallel cinema and television, blending Western classical techniques with Indian musical traditions.
- 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: Krishan Chander Triple: [Progressive Writers Movement, hasNotableMember, Krishan Chander]
Generated description
Krishan Chander was a prominent 20th-century Urdu and Hindi writer and satirist known for his socially conscious short stories and novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krishan Chander Target entity description: Krishan Chander was a prominent 20th-century Urdu and Hindi writer and satirist known for his socially conscious short stories and novels.
-
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.
Haresh Chandra
Haresh Chandra is an individual known primarily in this context as the child of Rani Chandra.
-
C.
Inder Verma
Inder Verma is an Indian-American molecular biologist known for his pioneering work in gene therapy and cancer genetics.
-
D.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
-
E.
Vanraj Bhatia
Vanraj Bhatia was an acclaimed Indian composer known for his pioneering work in parallel cinema and television, blending Western classical techniques with Indian musical traditions.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48e0ae481908b40f7f124b0551e |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc3c0d508190bc0c7bd89f040967 |
completed | April 2, 2026, 8:06 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:10 p.m.