Triple
T16528130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piyush Mishra |
E401491
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gangs of Wasseypur |
E1218691
|
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: Gangs of Wasseypur | Statement: [Piyush Mishra, notableWork, Gangs of Wasseypur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangs of Wasseypur Context triple: [Piyush Mishra, notableWork, Gangs of Wasseypur]
-
A.
Gangs of Wasseypur
chosen
Gangs of Wasseypur is a critically acclaimed Indian crime film saga directed by Anurag Kashyap, known for its gritty portrayal of coal mafia feuds and generational gang warfare in the town of Wasseypur.
-
B.
Badlapur
Badlapur is a rapidly developing suburban city in Maharashtra, India, known for its residential growth and rail connectivity to Mumbai.
-
C.
Badlapur
Badlapur is a town and administrative block in Uttar Pradesh, India, known for its local markets and role as a regional hub within Jaunpur district.
-
D.
Badlapur
Badlapur is a 2015 Indian neo-noir revenge thriller film directed by Sriram Raghavan, known for its dark tone, morally complex characters, and acclaimed performances.
-
E.
Mirzapur
Mirzapur is a city in the Indian state of Uttar Pradesh, known for its carpet and brassware industries and its location on the banks of the Ganges River.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed57be481908625d4c5aab0940c |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da0867881908ad9391d6d4cdebb |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:14 a.m.