Triple
T22094385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Om Puri |
E545987
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mirch Masala |
—
|
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: Mirch Masala | Statement: [Om Puri, notableWork, Mirch Masala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirch Masala Context triple: [Om Puri, notableWork, Mirch Masala]
-
A.
Mirch Masala
chosen
Mirch Masala is a critically acclaimed 1987 Indian Hindi-language drama film directed by Ketan Mehta, known for its powerful feminist themes and strong performances.
-
B.
Masala
Masala is a village and suburban area in the municipality of Kirkkonummi in southern Finland.
-
C.
Garam Masala
Garam Masala is a 2005 Hindi comedy film directed by Priyadarshan, known for its farcical plot and Paresh Rawal’s acclaimed comic performance.
-
D.
Curry
Curry is a common English-language surname borne by numerous notable individuals across fields such as religion, sports, and entertainment.
-
E.
Khichdi
Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.