Triple
T7518581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Silberschatz |
E177707
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | S. Sudarshan |
E173645
|
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: S. Sudarshan | Statement: [Abraham Silberschatz, coAuthorWith, S. Sudarshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. Sudarshan Context triple: [Abraham Silberschatz, coAuthorWith, S. Sudarshan]
-
A.
S. Sudarshan
chosen
S. Sudarshan is a computer scientist and academic known for his contributions to database systems and co-authoring a leading textbook in the field.
-
B.
Vijay Kenkre
Vijay Kenkre is a prominent Indian theatre director and actor known for his influential work in Marathi stage productions.
-
C.
Chandrasekharan Narasimhan
Chandrasekharan Narasimhan was an Indian mathematician known for his contributions to number theory and for being a prominent student of Louis Mordell.
-
D.
Dinesh Nandan Sahay
Dinesh Nandan Sahay was an Indian politician and former police officer who became the inaugural Governor of the state of Chhattisgarh.
-
E.
K. Shankar
K. Shankar is an Indian politician known for his leadership role in the Revolutionary Socialist Party, a left-wing political organization.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f850c081909e697219071293fc |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8462610b481909fa74023852b0154 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.