Triple
T22561432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Ganesh Gadkari |
E557824
|
entity |
| Predicate | pseudonym |
P39
|
FINISHED |
| Object |
Balakram
Balakram is the literary pseudonym used by noted Marathi writer and playwright Ram Ganesh Gadkari for some of his works.
|
E1542757
|
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: Balakram | Statement: [Ram Ganesh Gadkari, pseudonym, Balakram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balakram Context triple: [Ram Ganesh Gadkari, pseudonym, Balakram]
-
A.
Balakumaran
Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
-
B.
Komaram Bheem
Komaram Bheem was a tribal leader and revolutionary from Telangana who fought against the Nizam’s rule and became a symbol of indigenous resistance in India.
-
C.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
D.
Ram Baran
Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
-
E.
Rana Hammir
Rana Hammir was a 14th-century Rajput ruler renowned for restoring the independence and power of the Mewar kingdom in present-day Rajasthan, India.
- 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: Balakram Triple: [Ram Ganesh Gadkari, pseudonym, Balakram]
Generated description
Balakram is the literary pseudonym used by noted Marathi writer and playwright Ram Ganesh Gadkari for some of his works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balakram Target entity description: Balakram is the literary pseudonym used by noted Marathi writer and playwright Ram Ganesh Gadkari for some of his works.
-
A.
Balakumaran
Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
-
B.
Komaram Bheem
Komaram Bheem was a tribal leader and revolutionary from Telangana who fought against the Nizam’s rule and became a symbol of indigenous resistance in India.
-
C.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
D.
Ram Baran
Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
-
E.
Rana Hammir
Rana Hammir was a 14th-century Rajput ruler renowned for restoring the independence and power of the Mewar kingdom in present-day Rajasthan, India.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d6d8bd88190a0716294f22fd32b |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37998f888190bb53c2429760321a |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.