Triple
T20351569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aandhi |
E496023
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
G. G. Mayekar
G. G. Mayekar was a film editor known for his work in Indian cinema, including editing the acclaimed Hindi film "Aandhi."
|
E1427334
|
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: G. G. Mayekar | Statement: [Aandhi, editor, G. G. Mayekar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G. G. Mayekar Context triple: [Aandhi, editor, G. G. Mayekar]
-
A.
V. N. Mayekar
V. N. Mayekar is an editor known for his work on the Indian film "Taal."
-
B.
S. K. Belvalkar
S. K. Belvalkar was an Indian Sanskrit scholar and Indologist known for his significant contributions to textual criticism and editions of classical Indian epics and philosophical works.
-
C.
V. S. Khandekar
V. S. Khandekar was a prominent 20th-century Indian writer best known for his influential Marathi novels and short stories, including the Jnanpith Award-winning novel "Yayati."
-
D.
Shri Kulkarni
Shri Kulkarni is an astrophysicist known for pioneering work in pulsar astronomy and the discovery of the first millisecond pulsar.
-
E.
M.R. Jayakar
M.R. Jayakar was an Indian lawyer, politician, and constitutional expert who played a significant role in the country’s early nationalist and legislative movements.
- 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: G. G. Mayekar Triple: [Aandhi, editor, G. G. Mayekar]
Generated description
G. G. Mayekar was a film editor known for his work in Indian cinema, including editing the acclaimed Hindi film "Aandhi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G. G. Mayekar Target entity description: G. G. Mayekar was a film editor known for his work in Indian cinema, including editing the acclaimed Hindi film "Aandhi."
-
A.
V. N. Mayekar
V. N. Mayekar is an editor known for his work on the Indian film "Taal."
-
B.
S. K. Belvalkar
S. K. Belvalkar was an Indian Sanskrit scholar and Indologist known for his significant contributions to textual criticism and editions of classical Indian epics and philosophical works.
-
C.
V. S. Khandekar
V. S. Khandekar was a prominent 20th-century Indian writer best known for his influential Marathi novels and short stories, including the Jnanpith Award-winning novel "Yayati."
-
D.
Shri Kulkarni
Shri Kulkarni is an astrophysicist known for pioneering work in pulsar astronomy and the discovery of the first millisecond pulsar.
-
E.
M.R. Jayakar
M.R. Jayakar was an Indian lawyer, politician, and constitutional expert who played a significant role in the country’s early nationalist and legislative movements.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08760dba5881908155a4738b19802e |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876a0cb4881908b4f240181c8b9b2 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087710c60081908bc6c61884120ead |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:24 a.m.