Triple
T1409698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannaya |
E31775
|
entity |
| Predicate | nameInNativeLanguage |
P1435
|
FINISHED |
| Object | నన్నయ్య |
E34331
|
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: నన్నయ్య | Statement: [Nannaya, nameInNativeLanguage, నన్నయ్య]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: నన్నయ్య Context triple: [Nannaya, nameInNativeLanguage, నన్నయ్య]
-
A.
Venkata
Venkata is the given name of Indian physicist and Nobel laureate C. V. Raman, renowned for discovering the Raman effect in light scattering.
-
B.
Anying
Anying is the given name of Mao Anying, the eldest son of Chinese leader Mao Zedong who was killed in action during the Korean War.
-
C.
Narayana
Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
-
D.
Chidambaram
Chidambaram is a historic temple town in Tamil Nadu, India, renowned for its ancient Nataraja Temple and its central importance in Shaivite worship and pilgrimage.
-
E.
Yerrapragada
chosen
Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e0bfd08190a50820bc7585c28f |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57be14881908d469d2b5333d6d5 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.