Triple
T3341594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmania University |
E70271
|
entity |
| Predicate | viceChancellor |
P142
|
FINISHED |
| Object |
D. Ravinder
D. Ravinder is an Indian academic and administrator who serves as the vice-chancellor of Osmania University in Hyderabad.
|
E349878
|
NE FINISHED |
How this triple was built (4 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: D. Ravinder | Statement: [Osmania University, viceChancellor, D. Ravinder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D. Ravinder Context triple: [Osmania University, viceChancellor, D. Ravinder]
-
A.
K. Dinesh
K. Dinesh is an Indian entrepreneur and co-founder of the global IT services and consulting company Infosys.
-
B.
P. Madhusudan
P. Madhusudan is a computer scientist known for his contributions to formal methods, automata theory, and program verification.
-
C.
N. S. Raghavan
N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
-
D.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
E.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: D. Ravinder Triple: [Osmania University, viceChancellor, D. Ravinder]
Generated description
D. Ravinder is an Indian academic and administrator who serves as the vice-chancellor of Osmania University in Hyderabad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D. Ravinder Target entity description: D. Ravinder is an Indian academic and administrator who serves as the vice-chancellor of Osmania University in Hyderabad.
-
A.
K. Dinesh
K. Dinesh is an Indian entrepreneur and co-founder of the global IT services and consulting company Infosys.
-
B.
P. Madhusudan
P. Madhusudan is a computer scientist known for his contributions to formal methods, automata theory, and program verification.
-
C.
N. S. Raghavan
N. S. Raghavan is an Indian entrepreneur best known as one of the co-founders of the global IT services company Infosys.
-
D.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
E.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
- F. None of above. chosen
Provenance (5 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a946ba88190bd40ba7481baf28d |
completed | March 12, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69b31c3aaba48190b203e344d71080f3 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da28a04819096e7ced5f123592a |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:12 p.m.