Triple
T22033525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drishyam 2 |
E544144
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Drishyam |
—
|
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: Drishyam | Statement: [Drishyam 2, follows, Drishyam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drishyam Context triple: [Drishyam 2, follows, Drishyam]
-
A.
Drishyam
chosen
Drishyam is a critically acclaimed Indian thriller film known for its intricate plot, suspenseful storytelling, and strong performances.
-
B.
Drishyam 2
Drishyam 2 is a 2021 Indian Hindi-language crime thriller film and a sequel to the hit movie Drishyam, continuing the story of Vijay Salgaonkar and his family as past secrets resurface.
-
C.
Kaithi
Kaithi is a 2019 Tamil-language action thriller film centered on an ex-convict’s overnight mission to save poisoned police officers while evading ruthless criminals.
-
D.
Kaithi
Kaithi is a historical Brahmic script from northern India that was used to write several Indo-Aryan languages, including Bhojpuri, Magahi, and Maithili.
-
E.
Kabali
Kabali is a 2016 Indian Tamil-language action drama film starring Rajinikanth as an aging gangster seeking revenge and redemption.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.