Triple
T17001018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakeysh Omprakash Mehra |
E412441
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Toofaan |
E1245293
|
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: Toofaan | Statement: [Rakeysh Omprakash Mehra, directed, Toofaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toofaan Context triple: [Rakeysh Omprakash Mehra, directed, Toofaan]
-
A.
Toofaan
chosen
Toofaan is a 2021 Indian Hindi-language sports drama film about a Mumbai boxer, directed by Rakeysh Omprakash Mehra and starring Farhan Akhtar.
-
B.
Bahaghari
Bahaghari is a studio album by Filipina singer and Broadway star Lea Salonga that features traditional Filipino folk songs interpreted in various Philippine languages.
-
C.
Taymuri
Taymuri are a sub-group of the Aimaq people, traditionally semi-nomadic pastoralists living mainly in western and central Afghanistan.
-
D.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
E.
Khalnayak
Khalnayak is a 1993 Indian Hindi-language action thriller film, directed by Subhash Ghai, known for its iconic villainous lead role and popular soundtrack.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37d9f9081909aef52426d88940d |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b451ff88190b63f4ebddf93f153 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.