Triple
T21944189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angrezi Medium |
E541893
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Bhavesh Mandalia |
—
|
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: Bhavesh Mandalia | Statement: [Angrezi Medium, storyBy, Bhavesh Mandalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhavesh Mandalia Context triple: [Angrezi Medium, storyBy, Bhavesh Mandalia]
-
A.
Bhavesh Mandalia
chosen
Bhavesh Mandalia is an Indian screenwriter and filmmaker known for his work on acclaimed Hindi films and socially relevant comedies.
-
B.
Raghav Bhalla
Raghav Bhalla is an individual notable enough to be specifically cited as a bearer of the Bhalla surname.
-
C.
Akash Khurana
Akash Khurana is an Indian actor, screenwriter, and director known for his work in Hindi cinema and television.
-
D.
Shreyas Jain
Shreyas Jain is an Indian screenwriter best known for co-writing the critically acclaimed and commercially successful Bollywood film "Dangal."
-
E.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.