Triple
T21944366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haasil |
E541897
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Haasil |
—
|
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: Haasil | Statement: [Haasil, title, Haasil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haasil Context triple: [Haasil, title, Haasil]
-
A.
Haasil
chosen
Haasil is a 2003 Indian Hindi-language crime drama film, best known for its intense portrayal of student politics and for featuring a critically acclaimed performance by Irrfan Khan.
-
B.
Shaitan
Shaitan is a figure in Islamic belief commonly identified as the Devil, representing evil, temptation, and rebellion against God.
-
C.
I Saw the Devil
I Saw the Devil is a 2010 South Korean psychological thriller and revenge horror film known for its brutal violence and cat-and-mouse narrative between a secret agent and a serial killer.
-
D.
Pariah
Pariah is a 2011 independent coming-of-age drama film about a Brooklyn teenager embracing her identity as a lesbian, noted for its intimate storytelling and evocative cinematography.
-
E.
Pariah
Pariah is a film production company known for producing the post-apocalyptic zombie comedy "Zombieland."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.