Triple
T7444241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie |
E171831
|
entity |
| Predicate | isRelatedName |
P3889
|
FINISHED |
| Object |
Sarita
Sarita is a feminine given name used in various cultures, often considered a variant or diminutive of names like Sarah.
|
E664739
|
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: Sarita | Statement: [Sadie, isRelatedName, Sarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarita Context triple: [Sadie, isRelatedName, Sarita]
-
A.
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.
-
B.
Savita
Savita is a Vedic solar deity revered as a life-giving, illuminating divine force invoked in the Gayatri Mantra.
-
C.
Sudha
Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
-
D.
Shyamala
Shyamala is an Indian-origin female given name commonly used in South Asia.
-
E.
Mamta
Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
- 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: Sarita Triple: [Sadie, isRelatedName, Sarita]
Generated description
Sarita is a feminine given name used in various cultures, often considered a variant or diminutive of names like Sarah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarita Target entity description: Sarita is a feminine given name used in various cultures, often considered a variant or diminutive of names like Sarah.
-
A.
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.
-
B.
Savita
Savita is a Vedic solar deity revered as a life-giving, illuminating divine force invoked in the Gayatri Mantra.
-
C.
Sudha
Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
-
D.
Shyamala
Shyamala is an Indian-origin female given name commonly used in South Asia.
-
E.
Mamta
Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36e9a588190b54b8bae181fc971 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827a1bdf48190a0bf217044fb05f8 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828a2fda88190b69c6f89fc617fbd |
completed | March 28, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82936b4688190a83f1d15052c254c |
completed | March 28, 2026, 7:17 p.m. |
Created at: March 27, 2026, 3:13 p.m.