Triple
T21944438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billu |
E541899
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Rasika Joshi
Rasika Joshi was an Indian actress known for her character roles in Hindi and Marathi films, television, and theatre.
|
E1520558
|
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: Rasika Joshi | Statement: [Billu, starring, Rasika Joshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasika Joshi Context triple: [Billu, starring, Rasika Joshi]
-
A.
Pallavi Joshi
Pallavi Joshi is an acclaimed Indian actress and producer known for her nuanced performances in parallel cinema and television, as well as for winning multiple National Film Awards.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Anuja Joshi
Anuja Joshi is an Indian-American actress known for her roles in television dramas and web series, including prominent work in both Indian and American productions.
-
D.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
-
E.
Sujan Raskhan
Sujan Raskhan is a notable literary work associated with the poet Raskhan, reflecting themes of devotion and love in the Bhakti tradition.
- 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: Rasika Joshi Triple: [Billu, starring, Rasika Joshi]
Generated description
Rasika Joshi was an Indian actress known for her character roles in Hindi and Marathi films, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rasika Joshi Target entity description: Rasika Joshi was an Indian actress known for her character roles in Hindi and Marathi films, television, and theatre.
-
A.
Pallavi Joshi
Pallavi Joshi is an acclaimed Indian actress and producer known for her nuanced performances in parallel cinema and television, as well as for winning multiple National Film Awards.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Anuja Joshi
Anuja Joshi is an Indian-American actress known for her roles in television dramas and web series, including prominent work in both Indian and American productions.
-
D.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
-
E.
Sujan Raskhan
Sujan Raskhan is a notable literary work associated with the poet Raskhan, reflecting themes of devotion and love in the Bhakti tradition.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f0650448190897c27ae4de1dbdf |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a935f48748190a217e72780635460 |
completed | May 18, 2026, 4:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a93e870888190b7ce0bfd1b74bcef |
completed | May 18, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:56 p.m.