Triple
T23467323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritika Sajdeh |
E569130
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ritika Sajdeh |
—
|
NE NERFINISHED |
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: Ritika Sajdeh | Statement: [Ritika Sajdeh, name, Ritika Sajdeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritika Sajdeh Context triple: [Ritika Sajdeh, name, Ritika Sajdeh]
-
A.
Ritika Sajdeh
chosen
Ritika Sajdeh is an Indian sports manager and public figure best known for her association with prominent cricketers and her marriage to Indian cricket star Rohit Sharma.
-
B.
Radhika Merchant
Radhika Merchant is an Indian businesswoman and public figure known for her association with the Reliance Industries family and her high-profile marriage to Anant Ambani.
-
C.
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.
-
D.
Shibani Santurkar
Shibani Santurkar is a computer scientist and AI researcher known for her work on machine learning robustness and safety, and as a co-founder of the AI safety company Anthropic.
-
E.
Sobhita Dhulipala
Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fc35c48190a67614fb4170f15b |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.