Triple
T16235758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ketan Mehta |
E394105
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mirch Masala |
E545990
|
NE FINISHED |
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: [Ketan Mehta, notableWork, Mirch Masala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirch Masala Context triple: [Ketan Mehta, 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.
Curry
Curry is a common English-language surname borne by numerous notable individuals across fields such as religion, sports, and entertainment.
-
D.
Khichdi
Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
-
E.
Dum Aloo
Dum Aloo is a popular Kashmiri dish of whole potatoes slow-cooked in a rich, spiced gravy, often featured in traditional Wazwan feasts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455abc608190ba3308c15c9e8a23 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed8cbe48190be68ccade55211ad |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.