Triple
T22621277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hema Malini |
E558285
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kranti |
—
|
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: Kranti | Statement: [Hema Malini, notableWork, Kranti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kranti Context triple: [Hema Malini, notableWork, Kranti]
-
A.
Kranti
Kranti is a 2002 Hindi action drama film starring Amisha Patel alongside Bobby Deol and Vinod Khanna.
-
B.
Kranti
chosen
Kranti is a 1981 Indian historical drama film set during the Indian independence movement, directed by Manoj Kumar and featuring an ensemble cast including Dilip Kumar and Tom Alter.
-
C.
Kranti Jyoti
Kranti Jyoti is an honorific title meaning "Revolutionary Light," bestowed on Savitribai Phule in recognition of her pioneering role in women's education and social reform in India.
-
D.
Krantiveer
Krantiveer is a 1994 Hindi-language Indian action drama film known for its intense social themes and powerful performances.
-
E.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.