Triple
T8565356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baashha |
E202787
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Manik Baashha
Manik Baashha is a fictional protagonist, likely portrayed as a strong, central hero figure in the story he appears in.
|
E742969
|
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: Manik Baashha | Statement: [Baashha, mainCharacter, Manik Baashha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manik Baashha Context triple: [Baashha, mainCharacter, Manik Baashha]
-
A.
Maneckji
Maneckji is the given name of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
-
B.
Mani Bahen
Mani Bahen is an honorific name for Maniben Patel, an Indian independence activist and the daughter of Sardar Vallabhbhai Patel.
-
C.
Guman Chand Patwa
Guman Chand Patwa was a wealthy 19th-century Jain merchant from Jaisalmer, India, known for commissioning the ornate Patwon Ki Haveli complex.
-
D.
Bisher Banshi
Bisher Banshi is a literary work, likely in the Yugavani tradition, recognized for its contribution to regional South Asian poetry or prose.
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- 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: Manik Baashha Triple: [Baashha, mainCharacter, Manik Baashha]
Generated description
Manik Baashha is a fictional protagonist, likely portrayed as a strong, central hero figure in the story he appears in.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manik Baashha Target entity description: Manik Baashha is a fictional protagonist, likely portrayed as a strong, central hero figure in the story he appears in.
-
A.
Maneckji
Maneckji is the given name of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
-
B.
Mani Bahen
Mani Bahen is an honorific name for Maniben Patel, an Indian independence activist and the daughter of Sardar Vallabhbhai Patel.
-
C.
Guman Chand Patwa
Guman Chand Patwa was a wealthy 19th-century Jain merchant from Jaisalmer, India, known for commissioning the ornate Patwon Ki Haveli complex.
-
D.
Bisher Banshi
Bisher Banshi is a literary work, likely in the Yugavani tradition, recognized for its contribution to regional South Asian poetry or prose.
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- 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_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c10d774819086437ffeeb1ef25d |
completed | April 2, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d0064fc819095058293e4229f25 |
completed | April 2, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:20 p.m.