Triple
T4930741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhi |
E110687
|
entity |
| Predicate | isSometimesGroupedWith |
P35818
|
FINISHED |
| Object | Riddhi |
E126260
|
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: Riddhi | Statement: [Buddhi, isSometimesGroupedWith, Riddhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riddhi Context triple: [Buddhi, isSometimesGroupedWith, Riddhi]
-
A.
Riddhi
chosen
Riddhi is a Hindu goddess associated with prosperity and good fortune, traditionally regarded as one of the consorts of Lord Ganesha.
-
B.
Aditi
Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
-
C.
Sanjna
Sanjna is a figure in Hindu mythology known as the wife of the sun god Surya and the daughter of the god of justice, often associated with themes of devotion and transformation.
-
D.
Divya
Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
-
E.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd716520f08190862249efb2058fd4 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77af13308190b99f3aca0cb44c61 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:30 p.m.