Triple
T6540597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. Ramanaidu |
E168275
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Prem Nagar
Prem Nagar is a popular Indian romantic drama film produced by renowned filmmaker D. Ramanaidu, known for its influential status in Telugu and Hindi cinema.
|
E610384
|
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: Prem Nagar | Statement: [D. Ramanaidu, notableWork, Prem Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prem Nagar Context triple: [D. Ramanaidu, notableWork, Prem Nagar]
-
A.
Sundar Nagar
Sundar Nagar is a town in the Mandi district of Himachal Pradesh, India, known for its scenic surroundings and educational institutions.
-
B.
Ramesh Nagar
Ramesh Nagar is a residential and commercial neighborhood in West Delhi, India, known for its urban housing, local markets, and metro connectivity.
-
C.
Shastri Nagar
Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
D.
Laxmi Nagar
Laxmi Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
E.
Subhash Nagar
Subhash Nagar is a residential and commercial neighborhood in West Delhi, India, known for its urban markets, metro connectivity, and proximity to major city hubs.
- 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: Prem Nagar Triple: [D. Ramanaidu, notableWork, Prem Nagar]
Generated description
Prem Nagar is a popular Indian romantic drama film produced by renowned filmmaker D. Ramanaidu, known for its influential status in Telugu and Hindi cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prem Nagar Target entity description: Prem Nagar is a popular Indian romantic drama film produced by renowned filmmaker D. Ramanaidu, known for its influential status in Telugu and Hindi cinema.
-
A.
Sundar Nagar
Sundar Nagar is a town in the Mandi district of Himachal Pradesh, India, known for its scenic surroundings and educational institutions.
-
B.
Ramesh Nagar
Ramesh Nagar is a residential and commercial neighborhood in West Delhi, India, known for its urban housing, local markets, and metro connectivity.
-
C.
Shastri Nagar
Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
D.
Laxmi Nagar
Laxmi Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
E.
Subhash Nagar
Subhash Nagar is a residential and commercial neighborhood in West Delhi, India, known for its urban markets, metro connectivity, and proximity to major city hubs.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eed36a7081909cb70b79f18b0dfc |
completed | March 27, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69c6f2beccb481908d328320c64e7015 |
completed | March 27, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f321abd8819096640e037b205cb2 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.