Triple
T22103171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accidental Prime Minister |
E546218
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Aahana Kumra
Aahana Kumra is an Indian actress known for her work in film, television, and web series, often praised for her strong, unconventional roles.
|
E1527155
|
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: Aahana Kumra | Statement: [The Accidental Prime Minister, stars, Aahana Kumra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aahana Kumra Context triple: [The Accidental Prime Minister, stars, Aahana Kumra]
-
A.
Aditi Yadav
Aditi Yadav is the daughter of Indian politician and former Uttar Pradesh Chief Minister Akhilesh Yadav.
-
B.
Disha Jha
Disha Jha is an Indian film producer and industry professional known for her work in Hindi cinema and for being the daughter of acclaimed filmmaker Prakash Jha.
-
C.
Aditi Pandit
Aditi Pandit is a fictional character from the Indian television series "Astitva...Ek Prem Kahani."
-
D.
Riddhima Kapoor Sahni
Riddhima Kapoor Sahni is an Indian fashion and jewelry designer and entrepreneur, known as a member of the prominent Kapoor film family.
-
E.
Ananya Khare
Ananya Khare is an Indian film and television actress best known for her acclaimed supporting roles in Hindi cinema and popular TV serials.
- 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: Aahana Kumra Triple: [The Accidental Prime Minister, stars, Aahana Kumra]
Generated description
Aahana Kumra is an Indian actress known for her work in film, television, and web series, often praised for her strong, unconventional roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aahana Kumra Target entity description: Aahana Kumra is an Indian actress known for her work in film, television, and web series, often praised for her strong, unconventional roles.
-
A.
Aditi Yadav
Aditi Yadav is the daughter of Indian politician and former Uttar Pradesh Chief Minister Akhilesh Yadav.
-
B.
Disha Jha
Disha Jha is an Indian film producer and industry professional known for her work in Hindi cinema and for being the daughter of acclaimed filmmaker Prakash Jha.
-
C.
Aditi Pandit
Aditi Pandit is a fictional character from the Indian television series "Astitva...Ek Prem Kahani."
-
D.
Riddhima Kapoor Sahni
Riddhima Kapoor Sahni is an Indian fashion and jewelry designer and entrepreneur, known as a member of the prominent Kapoor film family.
-
E.
Ananya Khare
Ananya Khare is an Indian film and television actress best known for her acclaimed supporting roles in Hindi cinema and popular TV serials.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab64690548190b68288a49d4bcc0d |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab7e7608481908ca5fc3fde9661da |
completed | May 18, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab85924d881909585c3610f085acc |
completed | May 18, 2026, 6:57 a.m. |
Created at: April 16, 2026, 8:30 p.m.