Triple
T16274342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarita Choudhury |
E395085
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sarita |
E664739
|
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: Sarita | Statement: [Sarita Choudhury, givenName, Sarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarita Context triple: [Sarita Choudhury, givenName, Sarita]
-
A.
Sarita
chosen
Sarita is a feminine given name used in various cultures, often considered a variant or diminutive of names like Sarah.
-
B.
Sunita
Sunita is the given name of Sunita Williams, the American astronaut and United States Navy officer known for her long-duration spaceflights and spacewalk records.
-
C.
Sujata
Sujata is a classic 1959 Hindi social drama film directed by Bimal Roy, renowned for its sensitive portrayal of caste discrimination and human relationships.
-
D.
Savita
Savita is a Vedic solar deity revered as a life-giving, illuminating divine force invoked in the Gayatri Mantra.
-
E.
Sarala
Sarala is the given name of Sarala Devi Chaudhurani, an Indian feminist, educationist, and nationalist leader active in the late 19th and early 20th centuries.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460c2d948190813b66e539a64a70 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.