Triple
T8565343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baashha |
E202787
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Ganesh Kumar
Ganesh Kumar is a film editor known for his work on Indian cinema, including editing the popular Tamil film "Baashha."
|
E746074
|
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: Ganesh Kumar | Statement: [Baashha, editedBy, Ganesh Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganesh Kumar Context triple: [Baashha, editedBy, Ganesh Kumar]
-
A.
Nirmal Kumar
Nirmal Kumar was an Indian actor known for his work in Bengali cinema and his marriage to acclaimed actress Madhabi Mukherjee.
-
B.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
C.
Jagannath Mishra
Jagannath Mishra was a Bengali Brahmin scholar and the father of the Vaishnava saint and reformer Chaitanya Mahaprabhu.
-
D.
Gyanendra Pandey
Gyanendra Pandey is an Indian historian known for his influential work on nationalism, communalism, and marginalized groups, particularly through his contributions to the Subaltern Studies collective.
-
E.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
- 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: Ganesh Kumar Triple: [Baashha, editedBy, Ganesh Kumar]
Generated description
Ganesh Kumar is a film editor known for his work on Indian cinema, including editing the popular Tamil film "Baashha."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ganesh Kumar Target entity description: Ganesh Kumar is a film editor known for his work on Indian cinema, including editing the popular Tamil film "Baashha."
-
A.
Nirmal Kumar
Nirmal Kumar was an Indian actor known for his work in Bengali cinema and his marriage to acclaimed actress Madhabi Mukherjee.
-
B.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
C.
Jagannath Mishra
Jagannath Mishra was a Bengali Brahmin scholar and the father of the Vaishnava saint and reformer Chaitanya Mahaprabhu.
-
D.
Gyanendra Pandey
Gyanendra Pandey is an Indian historian known for his influential work on nationalism, communalism, and marginalized groups, particularly through his contributions to the Subaltern Studies collective.
-
E.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea87badf081909727808f0e14ae45 |
completed | April 2, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69cea996a5c48190a12ffe8e282d2d9c |
completed | April 2, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceadb2d52c8190aada1d797753663e |
completed | April 2, 2026, 5:56 p.m. |
Created at: March 30, 2026, 6:20 p.m.