Triple
T20351741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harano Sur |
E496027
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Anubha Gupta
Anubha Gupta was an Indian actress known for her work in Bengali cinema.
|
E1427336
|
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: Anubha Gupta | Statement: [Harano Sur, hasCastMember, Anubha Gupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anubha Gupta Context triple: [Harano Sur, hasCastMember, Anubha Gupta]
-
A.
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.
-
B.
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.
-
C.
Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
-
D.
Anisha Dadia
Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
-
E.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
- 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: Anubha Gupta Triple: [Harano Sur, hasCastMember, Anubha Gupta]
Generated description
Anubha Gupta was an Indian actress known for her work in Bengali cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anubha Gupta Target entity description: Anubha Gupta was an Indian actress known for her work in Bengali cinema.
-
A.
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.
-
B.
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.
-
C.
Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
-
D.
Anisha Dadia
Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
-
E.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08760dba5881908155a4738b19802e |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876a0cb4881908b4f240181c8b9b2 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087710c60081908bc6c61884120ead |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:24 a.m.