Triple
T15144997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karan Patel |
E361782
|
entity |
| Predicate | characterPlayed |
P1507
|
FINISHED |
| Object | Raman Bhalla |
E1142992
|
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: Raman Bhalla | Statement: [Karan Patel, characterPlayed, Raman Bhalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raman Bhalla Context triple: [Karan Patel, characterPlayed, Raman Bhalla]
-
A.
Raman Bhalla
chosen
Raman Bhalla is a popular fictional television character from the Indian soap opera "Yeh Hai Mohabbatein," known for his complex, emotionally intense persona.
-
B.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
C.
Vikram Kumar
Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
-
D.
Ravi Jhankal
Ravi Jhankal is an Indian film, television, and theatre actor known for his character roles in critically acclaimed Hindi productions.
-
E.
Sandeep Das
Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd26190c8190a1f66adc22ae93b8 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:07 a.m.