Triple
T16589165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neeraj Kabi |
E403036
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Talvar |
E541894
|
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: Talvar | Statement: [Neeraj Kabi, notableWork, Talvar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talvar Context triple: [Neeraj Kabi, notableWork, Talvar]
-
A.
Talvar
chosen
Talvar is a 2015 Indian crime drama film, directed by Meghna Gulzar and written by Vishal Bhardwaj, that presents a Rashomon-style retelling of the 2008 Noida double murder case.
-
B.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
C.
Jejuri
Jejuri is a temple town in Maharashtra, India, renowned for its hilltop Khandoba temple and vibrant religious festivals.
-
D.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
E.
Talaash
Talaash is a 2012 Indian psychological crime thriller film starring Aamir Khan, Rani Mukerji, and Kareena Kapoor, known for its suspenseful narrative and emotional depth.
- 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_69e3599f3d18819082b3e6eef5506731 |
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.