Triple
T16589022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naseeruddin Shah |
E403033
|
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: [Naseeruddin Shah, notableWork, Mirch Masala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirch Masala Context triple: [Naseeruddin Shah, 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.
Aloo Gobi
Aloo Gobi is a popular North Indian vegetarian dish made primarily from potatoes (aloo), cauliflower (gobi), and spices.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599e79288190b6bcdb6fe4a2d1fa |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007599dcd4819089bbd0569b3d9a12 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.