Triple
T22108702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raghuveer Chaudhari |
E546357
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Amrita |
—
|
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: Amrita | Statement: [Raghuveer Chaudhari, notableWork, Amrita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amrita Context triple: [Raghuveer Chaudhari, notableWork, Amrita]
-
A.
Amrita
chosen
Amrita is a common Indian feminine given name of Sanskrit origin, often associated with the meaning "immortality" or "nectar."
-
B.
Amritha
Amritha is a given name, typically used as a variant spelling of the Indian name Amrita, which means “immortal” or “nectar” in Sanskrit.
-
C.
Amrit
Amrit is the given name of Rajkumari Amrit Kaur, an Indian freedom fighter and the first Health Minister of independent India.
-
D.
Vaidehi
Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
-
E.
Vaijayanti
Vaijayanti is the ancient name of Banavasi, a historic town in Karnataka, India, renowned as one of the oldest centers of Hindu and Jain culture in the region.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291b9c988190b3ddd06d1f40dc78 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.