Triple
T22273848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sholay |
E550550
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | M. S. Shinde |
—
|
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: M. S. Shinde | Statement: [Sholay, editor, M. S. Shinde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. S. Shinde Context triple: [Sholay, editor, M. S. Shinde]
-
A.
M. S. Shinde
chosen
M. S. Shinde is a film editor known for his work on the movie "Saagar."
-
B.
Mankoji Shinde
Mankoji Shinde was a village headman and respected Patil from the Malwa region, best known as the father of the Maratha queen Ahilyabai Holkar.
-
C.
Ramesh Shinde
Ramesh Shinde is a person notable for bearing the surname Shinde, which is associated with various prominent individuals in India.
-
D.
V. Shantaram
V. Shantaram was a pioneering Indian filmmaker and actor renowned for his socially conscious and visually innovative contributions to early Marathi and Hindi cinema.
-
E.
Shashi Deshpande
Shashi Deshpande is an acclaimed Indian novelist and short story writer known for her nuanced portrayals of women's lives and social realities in contemporary India.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.