Triple
T5183399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riya Sen |
E116972
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Riya Dev Varma |
E116972
|
NE FINISHED |
How this triple was built (2 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: Riya Dev Varma | Statement: [Riya Sen, birthName, Riya Dev Varma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riya Dev Varma Context triple: [Riya Sen, birthName, Riya Dev Varma]
-
A.
Nithya Raman
Nithya Raman is an urban planner and progressive politician who serves on the Los Angeles City Council, known for her focus on homelessness, housing, and social justice issues.
-
B.
Nikita Gill
Nikita Gill is a contemporary British-Indian poet and writer known for her emotionally resonant, feminist poetry and modern retellings of myths and fairy tales.
-
C.
Mohini Bhardwaj
Mohini Bhardwaj is an American artistic gymnast best known as a 2004 Olympic silver medalist and standout collegiate competitor for UCLA.
-
D.
Riya Sen
chosen
Riya Sen is an Indian actress and model known for her work in Hindi, Bengali, and other regional films, as well as for her prominent presence in Indian popular culture and fashion.
-
E.
Kirron Kher
Kirron Kher is an Indian film and television actress and politician known for her powerful character roles in Hindi cinema and her work as a Member of Parliament.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799eb90c8190b738e9478699180f |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefb2464081909ee9f05788ef5c30 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:46 p.m.