Triple
T19273921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Dutt |
E481996
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Aar-Paar |
—
|
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: Aar-Paar | Statement: [Guru Dutt, produced, Aar-Paar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aar-Paar Context triple: [Guru Dutt, produced, Aar-Paar]
-
A.
Aar-Paar
chosen
Aar-Paar is a 1954 Hindi crime-comedy film directed by and starring Guru Dutt, celebrated for its stylish storytelling, memorable music, and influential place in classic Indian cinema.
-
B.
Dippa Kunda
Dippa Kunda is a residential neighborhood within the urban area of Serekunda in The Gambia.
-
C.
Parineeta
Parineeta is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores themes of love, class, and social conventions in early 20th-century India.
-
D.
Dil Apna Aur Preet Parai
Dil Apna Aur Preet Parai is a 1960 Hindi romantic drama film directed by Kishore Sahu, known for its emotional love triangle and memorable music composed by Shankar–Jaikishan.
-
E.
Pyar Ki Pyas
Pyar Ki Pyas is an Indian film produced under the AVM Productions banner, known for its family-oriented storytelling typical of the studio’s classic output.
- 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.