Triple
T1672784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Jubilee Concert |
E36161
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object |
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
|
E197561
|
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: Sanjay Suri | Statement: [Diamond Jubilee Concert, host, Sanjay Suri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay Suri Context triple: [Diamond Jubilee Concert, host, Sanjay Suri]
-
A.
Sanjay Kallapur
Sanjay Kallapur is an Indian economist and academic known for his contributions to accounting and finance research and his association with leading institutions such as the Delhi School of Economics.
-
B.
Sanjay Banerji
Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
-
C.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
D.
Sandeep Das
Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
-
E.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
- 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: Sanjay Suri Triple: [Diamond Jubilee Concert, host, Sanjay Suri]
Generated description
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjay Suri Target entity description: Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
A.
Sanjay Kallapur
Sanjay Kallapur is an Indian economist and academic known for his contributions to accounting and finance research and his association with leading institutions such as the Delhi School of Economics.
-
B.
Sanjay Banerji
Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
-
C.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
D.
Sandeep Das
Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
-
E.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6244b2888190b551b55aa053f1d3 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0c87ff88190a6ebdf9566856e03 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada524a234819082f94430da4e802d |
completed | March 8, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada5bc32ac8190a921410bdfa465fa |
completed | March 8, 2026, 4:37 p.m. |
Created at: March 4, 2026, 7:29 p.m.