Triple
T22033584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baba Azmi |
E544145
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mr. India |
—
|
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: Mr. India | Statement: [Baba Azmi, notableWork, Mr. India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. India Context triple: [Baba Azmi, notableWork, Mr. India]
-
A.
Mr. India
chosen
Mr. India is a popular 1987 Indian science-fiction superhero film, best known for its invisible hero, iconic villain Mogambo, and Sridevi’s celebrated performance.
-
B.
Laal Singh Chaddha
Laal Singh Chaddha is a 2022 Indian Hindi-language comedy-drama film, an official adaptation of the Hollywood classic Forrest Gump, starring Aamir Khan and Kareena Kapoor Khan.
-
C.
Mother India
Mother India is a national personification of India depicted as a nurturing yet embattled mother figure, widely used in literature, art, and political discourse to inspire patriotism and sacrifice.
-
D.
Peepli Live
Peepli Live is a 2010 Indian satirical film that critiques media sensationalism and government apathy toward farmer suicides in rural India.
-
E.
Chunky Pandey
Chunky Pandey is an Indian film actor best known for his comic and character roles in numerous Bollywood movies since the late 1980s.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.