Triple
T10718086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Body |
E252736
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Savan Kotecha |
E653108
|
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: Savan Kotecha | Statement: [Your Body, producer, Savan Kotecha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savan Kotecha Context triple: [Your Body, producer, Savan Kotecha]
-
A.
Savan Kotecha
chosen
Savan Kotecha is an American songwriter and record producer best known for crafting numerous global pop hits for artists like One Direction, Ariana Grande, and The Weeknd.
-
B.
Karan Patel
Karan Patel is an Indian television actor best known for his role as Raman Bhalla in the popular Hindi TV series "Yeh Hai Mohabbatein."
-
C.
Dillon Mitra
Dillon Mitra is an actor known for his role in the culinary drama film "The Hundred-Foot Journey."
-
D.
Anish Savjani
Anish Savjani is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
-
E.
Rohan Chand
Rohan Chand is an American child actor best known for his lead role as Mowgli in the film "Mowgli: Legend of the Jungle" and appearances in movies like "Bad Words" and "Lone Survivor."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.