Triple
T7143172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upendra Bhanja |
E166499
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Upendra Bhanja |
E166499
|
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: Upendra Bhanja | Statement: [Upendra Bhanja, name, Upendra Bhanja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upendra Bhanja Context triple: [Upendra Bhanja, name, Upendra Bhanja]
-
A.
Upendra Bhanja
chosen
Upendra Bhanja was a celebrated 17th–18th century Odia poet renowned for his ornate style and major contributions to classical Odia literature.
-
B.
Jagannath Mishra
Jagannath Mishra was a Bengali Brahmin scholar and the father of the Vaishnava saint and reformer Chaitanya Mahaprabhu.
-
C.
Nagendra Babu
Nagendra Babu is an Indian film actor and producer primarily associated with Telugu cinema and the influential Konidela family film dynasty.
-
D.
Kishore Sahu
Kishore Sahu was a prominent Indian film director, actor, and producer known for his influential work during the Golden Age of Hindi cinema.
-
E.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e779ace48190be9c33750e60a79e |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db01750c8190b8b147261be7d253 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:46 p.m.