Triple
T8558268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sridevi |
E202630
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Janhvi Kapoor
Janhvi Kapoor is an Indian film actress who works primarily in Hindi cinema and is known for being one of the prominent young stars in Bollywood.
|
E743343
|
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: Janhvi Kapoor | Statement: [Sridevi, child, Janhvi Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janhvi Kapoor Context triple: [Sridevi, child, Janhvi Kapoor]
-
A.
Syesha Kapoor
Syesha Kapoor is the daughter of renowned Indian playback singer Alka Yagnik.
-
B.
Shriya Saran
Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
-
C.
Kiara Advani
Kiara Advani is an Indian film actress known for her work in Hindi and Telugu cinema, with notable roles in films like "Kabir Singh," "Shershaah," and "MS Dhoni: The Untold Story."
-
D.
Ekta Kapoor
Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
-
E.
Sonam Kapoor
Sonam Kapoor is a prominent Indian actress and fashion icon known for her work in Hindi cinema and her influential presence in the fashion industry.
- 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: Janhvi Kapoor Triple: [Sridevi, child, Janhvi Kapoor]
Generated description
Janhvi Kapoor is an Indian film actress who works primarily in Hindi cinema and is known for being one of the prominent young stars in Bollywood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janhvi Kapoor Target entity description: Janhvi Kapoor is an Indian film actress who works primarily in Hindi cinema and is known for being one of the prominent young stars in Bollywood.
-
A.
Syesha Kapoor
Syesha Kapoor is the daughter of renowned Indian playback singer Alka Yagnik.
-
B.
Shriya Saran
Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
-
C.
Kiara Advani
Kiara Advani is an Indian film actress known for her work in Hindi and Telugu cinema, with notable roles in films like "Kabir Singh," "Shershaah," and "MS Dhoni: The Untold Story."
-
D.
Ekta Kapoor
Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
-
E.
Sonam Kapoor
Sonam Kapoor is a prominent Indian actress and fashion icon known for her work in Hindi cinema and her influential presence in the fashion industry.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89455dcc819088bdf5a2f653da17 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.