Triple
T8667565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuvan Shankar Raja |
E205713
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Karthik Raja
Karthik Raja is an Indian film music composer and the son of legendary composer Ilaiyaraaja, known for his work in Tamil cinema.
|
E760378
|
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: Karthik Raja | Statement: [Yuvan Shankar Raja, hasRelative, Karthik Raja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karthik Raja Context triple: [Yuvan Shankar Raja, hasRelative, Karthik Raja]
-
A.
Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
-
B.
Karthi
Karthi is a popular Indian Tamil film actor known for his versatile performances in commercial and critically acclaimed movies.
-
C.
Ravi Basrur
Ravi Basrur is an Indian film music composer and sound designer best known for his work on high-profile Kannada films such as the K.G.F series.
-
D.
Ashwanth Ashokkumar
Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
-
E.
Sethu Vijayakumar
Sethu Vijayakumar is a robotics and machine learning researcher known for his work in robot control, motor learning, and human-robot interaction, and for leading the Edinburgh Centre for Robotics.
- 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: Karthik Raja Triple: [Yuvan Shankar Raja, hasRelative, Karthik Raja]
Generated description
Karthik Raja is an Indian film music composer and the son of legendary composer Ilaiyaraaja, known for his work in Tamil cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karthik Raja Target entity description: Karthik Raja is an Indian film music composer and the son of legendary composer Ilaiyaraaja, known for his work in Tamil cinema.
-
A.
Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
-
B.
Karthi
Karthi is a popular Indian Tamil film actor known for his versatile performances in commercial and critically acclaimed movies.
-
C.
Ravi Basrur
Ravi Basrur is an Indian film music composer and sound designer best known for his work on high-profile Kannada films such as the K.G.F series.
-
D.
Ashwanth Ashokkumar
Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
-
E.
Sethu Vijayakumar
Sethu Vijayakumar is a robotics and machine learning researcher known for his work in robot control, motor learning, and human-robot interaction, and for leading the Edinburgh Centre for Robotics.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf88c11f788190b7ab86fe8cf278bd |
completed | April 3, 2026, 9:30 a.m. |
| NEDg | Description generation | batch_69cf8a3d8e548190911d44ee36875d44 |
completed | April 3, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8ae86e1881908a77f660c061bf69 |
completed | April 3, 2026, 9:39 a.m. |
Created at: March 30, 2026, 6:31 p.m.