Triple
T14335897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darshan Upadhyaya |
E355465
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Darshan Upadhyaya |
E355465
|
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: Darshan Upadhyaya | Statement: [Darshan Upadhyaya, name, Darshan Upadhyaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darshan Upadhyaya Context triple: [Darshan Upadhyaya, name, Darshan Upadhyaya]
-
A.
Darshan "Darshan" Upadhyaya
chosen
Darshan "Darshan" Upadhyaya is a professional League of Legends top laner best known for his long tenure and success in the North American LCS.
-
B.
Darshan Jariwala
Darshan Jariwala is an Indian film, television, and stage actor best known internationally for his acclaimed portrayal of Mahatma Gandhi in the film "Gandhi, My Father."
-
C.
Akhilendra Mishra
Akhilendra Mishra is an Indian film and television actor known for his character roles in Hindi cinema and TV, including notable performances in movies like Lagaan and Sarfarosh.
-
D.
Gyanendra Pandey
Gyanendra Pandey is an Indian historian known for his influential work on nationalism, communalism, and marginalized groups, particularly through his contributions to the Subaltern Studies collective.
-
E.
Aseem Kishore
Aseem Kishore is a technology writer and blogger known for creating practical guides and tutorials on software, web development, and digital tools.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.