Triple
T6491152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vamana |
E148038
|
entity |
| Predicate | parents |
P7318
|
FINISHED |
| Object | Aditi |
E449900
|
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: Aditi | Statement: [Vamana, parents, Aditi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aditi Context triple: [Vamana, parents, Aditi]
-
A.
Aditi
chosen
Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
-
B.
Anjali
Anjali is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
-
C.
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.
-
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.
Dhriti
Dhriti is a Sanskrit-origin name and concept signifying steadfastness, courage, and perseverance.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9a8d8481908d88e5c9f0c773f7 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653bcb63081908be29abd0084d266 |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.