Triple
T6926102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suraj Sharma |
E160313
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Suraj Sharma |
E160313
|
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: Suraj Sharma | Statement: [Suraj Sharma, name, Suraj Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suraj Sharma Context triple: [Suraj Sharma, name, Suraj Sharma]
-
A.
Suraj Sharma
chosen
Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
-
B.
Yogesh Singh
Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University of Delhi.
-
C.
Rajeev Singh
Rajeev Singh is a technology entrepreneur best known as a co-founder and former executive leader of the travel and expense management company Concur Technologies.
-
D.
Nirvikar Singh
Nirvikar Singh is an economist and academic known for his contributions to economic theory and policy, associated with leading institutions such as the Delhi School of Economics.
-
E.
Nishant
Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1aa9c48190b63a04be2ed9e266 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7513fddd88190b99c4b7e3364d218 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:27 p.m.