Triple
T7289607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Tears Left to Cry |
E163957
|
entity |
| Predicate | writer |
P1360
|
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: [No Tears Left to Cry, writer, Savan Kotecha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savan Kotecha Context triple: [No Tears Left to Cry, writer, 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.
Anish Savjani
Anish Savjani is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
-
D.
Bhavit Sheth
Bhavit Sheth is an Indian entrepreneur best known as the co-founder of Dream Sports, the parent company of fantasy sports platform Dream11.
-
E.
Amisha Patel
Amisha Patel is an Indian film actress best known for her roles in popular Hindi movies such as "Kaho Naa... Pyaar Hai" and "Gadar: Ek Prem Katha."
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa702e508190a2a88d497c4ef9be |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 3 p.m.