Triple
T11718083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guha Bala |
E278553
|
entity |
| Predicate | coFoundedWith |
P2835
|
FINISHED |
| Object | Karthik Bala |
E266241
|
NE FINISHED |
How this triple was built (2 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 Bala | Statement: [Guha Bala, coFoundedWith, Karthik Bala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karthik Bala Context triple: [Guha Bala, coFoundedWith, Karthik Bala]
-
A.
Karthik Bala
chosen
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
-
B.
Karthik Raja
Karthik Raja is an Indian film music composer and the son of legendary composer Ilaiyaraaja, known for his work in Tamil cinema.
-
C.
Ravi Jhankal
Ravi Jhankal is an Indian film, television, and theatre actor known for his character roles in critically acclaimed Hindi productions.
-
D.
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.
-
E.
Ray Reddy
Ray Reddy is a supporting character in the film "Signs," known for his pivotal role in the tragic backstory that shapes the protagonist’s crisis of faith.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08fed49fc8190951ff3af6bd51050 |
completed | April 28, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.