Triple
T16183546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanaa |
E392742
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Shruti Seth
Shruti Seth is an Indian television and film actress known for her roles in popular Hindi TV shows and Bollywood movies.
|
E1209007
|
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: Shruti Seth | Statement: [Fanaa, starring, Shruti Seth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shruti Seth Context triple: [Fanaa, starring, Shruti Seth]
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
-
C.
Karthika Srinivas
Karthika Srinivas is an Indian film editor known for his work in Telugu cinema, including editing the blockbuster film "Pushpa: The Rise."
-
D.
Shivani Rawat
Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
-
E.
Sangita Srivastava
Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
- 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: Shruti Seth Triple: [Fanaa, starring, Shruti Seth]
Generated description
Shruti Seth is an Indian television and film actress known for her roles in popular Hindi TV shows and Bollywood movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shruti Seth Target entity description: Shruti Seth is an Indian television and film actress known for her roles in popular Hindi TV shows and Bollywood movies.
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
-
C.
Karthika Srinivas
Karthika Srinivas is an Indian film editor known for his work in Telugu cinema, including editing the blockbuster film "Pushpa: The Rise."
-
D.
Shivani Rawat
Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
-
E.
Sangita Srivastava
Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d9c35248190a5540a692503c989 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:02 a.m.