Triple
T10213341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru (2007 film) |
E242382
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Arya Babbar
Arya Babbar is an Indian film and television actor known for his work in Hindi and Punjabi cinema.
|
E849944
|
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: Arya Babbar | Statement: [Guru (2007 film), castMember, Arya Babbar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arya Babbar Context triple: [Guru (2007 film), castMember, Arya Babbar]
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
C.
Gitali Roy
Gitali Roy was an Indian actress best known for her role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
D.
Amisha Patel
Amisha Patel is an Indian film actress best known for her roles in popular Hindi movies such as "Kaho Naa... Pyaar Hai" and "Gadar: Ek Prem Katha."
-
E.
Maya Bhaskar
Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
- 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: Arya Babbar Triple: [Guru (2007 film), castMember, Arya Babbar]
Generated description
Arya Babbar is an Indian film and television actor known for his work in Hindi and Punjabi cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arya Babbar Target entity description: Arya Babbar is an Indian film and television actor known for his work in Hindi and Punjabi cinema.
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
C.
Gitali Roy
Gitali Roy was an Indian actress best known for her role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
D.
Amisha Patel
Amisha Patel is an Indian film actress best known for her roles in popular Hindi movies such as "Kaho Naa... Pyaar Hai" and "Gadar: Ek Prem Katha."
-
E.
Maya Bhaskar
Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d657818b008190a24170717cff53b9 |
completed | April 8, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d65835a11c819083d069ab0f644d4c |
completed | April 8, 2026, 1:29 p.m. |
Created at: April 6, 2026, 11:03 a.m.