Triple
T23205393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laxmikant Berde |
E580438
|
entity |
| Predicate | notableFilm |
P22
|
FINISHED |
| Object |
Ashihi Banwa Banwi
Ashihi Banwa Banwi is a popular Marathi comedy film widely remembered for its humorous plot and Laxmikant Berde’s iconic performance.
|
E1575901
|
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: Ashihi Banwa Banwi | Statement: [Laxmikant Berde, notableFilm, Ashihi Banwa Banwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashihi Banwa Banwi Context triple: [Laxmikant Berde, notableFilm, Ashihi Banwa Banwi]
-
A.
Kashibai
Kashibai was the first wife of Peshwa Bajirao I and a prominent Maratha noblewoman known for her influential role in the 18th-century Maratha court.
-
B.
Subashi
Subashi is an ancient Buddhist temple site in Xinjiang, China, that served as an important religious and cultural stop along the Silk Road.
-
C.
Nabajanma
Nabajanma is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
-
D.
Baidehisha Bilasa
Baidehisha Bilasa is a celebrated Odia poetic work renowned for its ornate language and lyrical style, composed by the eminent poet Upendra Bhanja.
-
E.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
- 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: Ashihi Banwa Banwi Triple: [Laxmikant Berde, notableFilm, Ashihi Banwa Banwi]
Generated description
Ashihi Banwa Banwi is a popular Marathi comedy film widely remembered for its humorous plot and Laxmikant Berde’s iconic performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashihi Banwa Banwi Target entity description: Ashihi Banwa Banwi is a popular Marathi comedy film widely remembered for its humorous plot and Laxmikant Berde’s iconic performance.
-
A.
Kashibai
Kashibai was the first wife of Peshwa Bajirao I and a prominent Maratha noblewoman known for her influential role in the 18th-century Maratha court.
-
B.
Subashi
Subashi is an ancient Buddhist temple site in Xinjiang, China, that served as an important religious and cultural stop along the Silk Road.
-
C.
Nabajanma
Nabajanma is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
-
D.
Baidehisha Bilasa
Baidehisha Bilasa is a celebrated Odia poetic work renowned for its ornate language and lyrical style, composed by the eminent poet Upendra Bhanja.
-
E.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30c2ac508190ab718e22afde7a73 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c332f5ef08190ab7f6536eb719e04 |
completed | May 19, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c374ded1c8190b1d5c7a3ab521cf9 |
completed | May 19, 2026, 10:11 a.m. |
Created at: April 17, 2026, 4:07 p.m.