Triple
T17818374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajaram Bhonsle |
E444906
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rajasbai |
—
|
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: Rajasbai | Statement: [Rajaram Bhonsle, spouse, Rajasbai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajasbai Context triple: [Rajaram Bhonsle, spouse, Rajasbai]
-
A.
Rajasbai
chosen
Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
-
B.
Rani
Rani is an honorific title used in South Asia for a queen or a female royal consort.
-
C.
Rana of Porbandar
Rana of Porbandar was the hereditary royal title held by the ruling prince of the former princely state of Porbandar in western India.
-
D.
Rajani
Rajani is a Bengali novel by renowned 19th-century writer Bankim Chandra Chattopadhyay, noted for its exploration of social and emotional themes in colonial India.
-
E.
Raja Rani
Raja Rani is a popular 2013 Tamil romantic drama film, best known for its ensemble cast and emotional portrayal of love and second chances.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488812df081909771d51c54c405fe |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.