Triple
T18387965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narayan |
E449640
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Narayan (singer)
Narayan (singer) is an Indian vocalist known for his work in regional film music and independent songs.
|
E1321049
|
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: Narayan (singer) | Statement: [Narayan, hasNotableBearer, Narayan (singer)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narayan (singer) Context triple: [Narayan, hasNotableBearer, Narayan (singer)]
-
A.
Hariharan
Hariharan is a renowned Indian playback and ghazal singer known for his versatile voice and extensive work in film and independent music.
-
B.
Natarajan Shankar
Natarajan Shankar is a computer scientist known for his contributions to automated reasoning and formal methods, particularly in theorem proving and verification.
-
C.
Amar Das
Amar Das was the third Sikh Guru, known for strengthening the Sikh community and promoting social equality and the institution of langar (community kitchen).
-
D.
Alka Yagnik
Alka Yagnik is a renowned Indian playback singer celebrated for her melodious voice and numerous hit songs in Hindi cinema since the 1980s.
-
E.
Jaidev
Jaidev is an Indian given name commonly used for males, often associated with cultural and artistic backgrounds.
- 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: Narayan (singer) Triple: [Narayan, hasNotableBearer, Narayan (singer)]
Generated description
Narayan (singer) is an Indian vocalist known for his work in regional film music and independent songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narayan (singer) Target entity description: Narayan (singer) is an Indian vocalist known for his work in regional film music and independent songs.
-
A.
Hariharan
Hariharan is a renowned Indian playback and ghazal singer known for his versatile voice and extensive work in film and independent music.
-
B.
Natarajan Shankar
Natarajan Shankar is a computer scientist known for his contributions to automated reasoning and formal methods, particularly in theorem proving and verification.
-
C.
Amar Das
Amar Das was the third Sikh Guru, known for strengthening the Sikh community and promoting social equality and the institution of langar (community kitchen).
-
D.
Alka Yagnik
Alka Yagnik is a renowned Indian playback singer celebrated for her melodious voice and numerous hit songs in Hindi cinema since the 1980s.
-
E.
Jaidev
Jaidev is an Indian given name commonly used for males, often associated with cultural and artistic backgrounds.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d786ac888190bc5984ee83ea6e0f |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8512d4c8190b113f7ed1f8a044c |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8d863cc819098b46d5d26db05cd |
completed | May 13, 2026, 1:50 a.m. |
Created at: April 10, 2026, 10:46 a.m.