Triple
T19273904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Dutt |
E481996
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pyaasa |
—
|
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: Pyaasa | Statement: [Guru Dutt, notableWork, Pyaasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyaasa Context triple: [Guru Dutt, notableWork, Pyaasa]
-
A.
Pyaasa
chosen
Pyaasa is a 1957 Indian romantic drama film directed by and starring Guru Dutt, celebrated for its poetic storytelling, memorable music, and critique of a materialistic society.
-
B.
Chitrahaar
Chitrahaar is a long-running Indian television program that showcases popular Bollywood film songs, traditionally broadcast on the national public broadcaster Doordarshan.
-
C.
Jawani Diwani
Jawani Diwani is a 1972 Hindi romantic comedy film starring Randhir Kapoor and Jaya Bhaduri, known for its youthful love story and popular music.
-
D.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.