Triple
T14231345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gayatri Rajapatni |
E352757
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Rajapatni |
E338385
|
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: Rajapatni | Statement: [Gayatri Rajapatni, title, Rajapatni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajapatni Context triple: [Gayatri Rajapatni, title, Rajapatni]
-
A.
Rajarshi
Rajarshi is an honorific title in ancient Indian tradition denoting a king who has attained the spiritual wisdom and detachment of a sage.
-
B.
Raja
Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
-
C.
Rajasbai
Rajasbai was a queen consort of the Maratha Empire, known primarily as one of the wives of Chhatrapati Rajaram I.
-
D.
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.
-
E.
Rani
chosen
Rani is an honorific title used in South Asia for a queen or a female royal consort.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622b89fc8190af08dab9e1976759 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2819bfec8190b555632338c53740 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:07 a.m.