Triple
T21945107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijaypath |
E541913
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Indeevar
Indeevar was a prominent Indian lyricist best known for his extensive and influential work in Hindi cinema songs.
|
E1509500
|
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: Indeevar | Statement: [Vijaypath, lyricist, Indeevar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indeevar Context triple: [Vijaypath, lyricist, Indeevar]
-
A.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
-
B.
Nawayathi
Nawayathi is an Indo-Aryan language variety spoken by the Nawayath Muslim community, primarily along the coastal regions of Karnataka in southwestern India.
-
C.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
-
D.
Priyamani
Priyamani is an Indian actress known for her acclaimed performances in South Indian cinema and Hindi-language films and series, including her National Award-winning role in "Paruthiveeran."
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- 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: Indeevar Triple: [Vijaypath, lyricist, Indeevar]
Generated description
Indeevar was a prominent Indian lyricist best known for his extensive and influential work in Hindi cinema songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Indeevar Target entity description: Indeevar was a prominent Indian lyricist best known for his extensive and influential work in Hindi cinema songs.
-
A.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
-
B.
Nawayathi
Nawayathi is an Indo-Aryan language variety spoken by the Nawayath Muslim community, primarily along the coastal regions of Karnataka in southwestern India.
-
C.
Aradhana
Aradhana is a landmark 1969 Hindi romantic drama film, celebrated for its music and performances, that significantly boosted the stardom of its lead actors.
-
D.
Priyamani
Priyamani is an Indian actress known for her acclaimed performances in South Indian cinema and Hindi-language films and series, including her National Award-winning role in "Paruthiveeran."
-
E.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.