Triple
T22755587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neha Kakkar |
E562833
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Badshah |
—
|
NE NERFINISHED |
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: Badshah | Statement: [Neha Kakkar, associatedAct, Badshah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badshah Context triple: [Neha Kakkar, associatedAct, Badshah]
-
A.
Badshah
chosen
Badshah is an imperial title historically used by Mughal emperors and other Muslim sovereigns in South Asia to denote supreme rulership.
-
B.
Mahmood
Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
-
C.
Badshah Khan
Badshah Khan was an Indian Pashtun independence activist and close ally of Mahatma Gandhi, renowned for leading the nonviolent Khudai Khidmatgar (Red Shirt) movement against British rule.
-
D.
Dadju
Dadju is a French singer and songwriter known for his smooth blend of R&B and pop, as well as for being a former member of the duo The Shin Sekaï.
-
E.
Bazzi
Bazzi is an American singer, songwriter, and producer known for his melodic pop and R&B-influenced tracks such as the hit single "Mine."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.