Triple
T7694406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deepika Padukone |
E174333
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pathaan |
E682785
|
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: Pathaan | Statement: [Deepika Padukone, notableWork, Pathaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pathaan Context triple: [Deepika Padukone, notableWork, Pathaan]
-
A.
Pathaan
chosen
Pathaan is a 2023 Indian action thriller film starring Shah Rukh Khan as a spy in a high-octane, espionage-driven storyline within the YRF Spy Universe.
-
B.
Jawan
Jawan is a 2023 Indian action thriller film starring Shah Rukh Khan, known for its high-octane action, social themes, and massive box-office success.
-
C.
Adipurush
Adipurush is a 2023 Indian mythological action film, inspired by the Ramayana, in which Prabhas plays a modern cinematic incarnation of Lord Rama.
-
D.
Brahmastra
Brahmastra is a legendary, supremely destructive celestial weapon in Hindu mythology, often depicted as capable of annihilating entire armies or regions.
-
E.
Dangal
Dangal is a critically acclaimed Indian sports drama film that tells the true story of wrestler Mahavir Singh Phogat training his daughters to become world-class champions.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702459f988190bf7087bf51d5317f |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7b8b1fc8190a3c81c0ee018bb97 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:02 p.m.