Triple
T22394347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raman (Tamil: ராமன்) |
E553589
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Raman (Indian given name) |
—
|
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: Raman (Indian given name) | Statement: [Raman (Tamil: ராமன்), relatedName, Raman (Indian given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raman (Indian given name) Context triple: [Raman (Tamil: ராமன்), relatedName, Raman (Indian given name)]
-
A.
Raman
chosen
Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
-
B.
Ramesh
Ramesh is the given first name of Sunny Balwani, the former president and chief operating officer of the health technology company Theranos.
-
C.
Ranjan
Ranjan is a young, adventurous village boy who appears as a supporting character in Disney’s animated film "The Jungle Book 2."
-
D.
Ravi
Ravi is a common Indian male given name of Sanskrit origin meaning "sun" or "sun god."
-
E.
Ravi
Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585dac3c8190bc221f35b3eefa3f |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.