Triple
T21428330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudaali |
E528618
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jethu Mandal |
—
|
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: Jethu Mandal | Statement: [Rudaali, editedBy, Jethu Mandal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jethu Mandal Context triple: [Rudaali, editedBy, Jethu Mandal]
-
A.
Jethu Mandal
chosen
Jethu Mandal is a film editor known for his work on the acclaimed Indian crime drama "Sarfarosh."
-
B.
Bhilodi
Bhilodi is an alternative name for Bhili, an Indo-Aryan language spoken primarily by the Bhil people of western and central India.
-
C.
Madiwala
Madiwala is a bustling commercial and residential neighborhood in south Bengaluru, India, known for its major market, lake, and role as a key transit hub.
-
D.
Ghansali
Ghansali is a small town in the Indian state of Uttarakhand, situated in the Himalayan region and serving as a local hub for nearby rural areas.
-
E.
Narsingi
Narsingi is a rapidly developing residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to the IT corridor and Outer Ring Road.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.