Triple
T10213195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaipayuthey |
E242379
|
entity |
| Predicate | featuresVocalists |
P8086
|
FINISHED |
| Object |
Srinivas
Srinivas is an Indian playback singer known for his melodious voice and extensive work in Tamil cinema music.
|
E849909
|
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: Srinivas | Statement: [Alaipayuthey, featuresVocalists, Srinivas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srinivas Context triple: [Alaipayuthey, featuresVocalists, Srinivas]
-
A.
Suryanarayana
Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
-
B.
Raghavendra
Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
-
C.
Srinatha
Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
-
D.
Vasanth
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
-
E.
Vishnu Vardhan Induri
Vishnu Vardhan Induri is an Indian film producer and entrepreneur best known for creating and organizing major South Indian cinema award platforms and events.
- 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: Srinivas Triple: [Alaipayuthey, featuresVocalists, Srinivas]
Generated description
Srinivas is an Indian playback singer known for his melodious voice and extensive work in Tamil cinema music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Srinivas Target entity description: Srinivas is an Indian playback singer known for his melodious voice and extensive work in Tamil cinema music.
-
A.
Suryanarayana
Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
-
B.
Raghavendra
Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
-
C.
Srinatha
Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
-
D.
Vasanth
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
-
E.
Vishnu Vardhan Induri
Vishnu Vardhan Induri is an Indian film producer and entrepreneur best known for creating and organizing major South Indian cinema award platforms and events.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652e25be88190a6f1763e9e86666a |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d657818b008190a24170717cff53b9 |
completed | April 8, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d65835a11c819083d069ab0f644d4c |
completed | April 8, 2026, 1:29 p.m. |
Created at: April 6, 2026, 11:03 a.m.