Triple
T22755621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rekha |
E562834
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Krrish |
—
|
NE NERFINISHED |
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: Krrish | Statement: [Rekha, notableWork, Krrish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krrish Context triple: [Rekha, notableWork, Krrish]
-
A.
Krrish
chosen
Krrish is a popular Indian superhero film franchise known for its sci-fi action, visual effects, and central masked hero.
-
B.
Ghajini
Ghajini is a 2008 Indian psychological action thriller film, directed by A.R. Murugadoss, known for its amnesia-driven revenge plot and Aamir Khan’s intensely physical performance.
-
C.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
D.
Jawan
Jawan is a small town in the Aligarh district of Uttar Pradesh, India, known primarily as a local agricultural and market center.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.