Triple
T16183537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanaa |
E392742
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Yash Raj Films |
E394108
|
NE FINISHED |
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: Yash Raj Films | Statement: [Fanaa, distributor, Yash Raj Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yash Raj Films Context triple: [Fanaa, distributor, Yash Raj Films]
-
A.
Yash Raj Films
chosen
Yash Raj Films is a major Indian film production and distribution company known for producing and releasing many of Bollywood’s most successful and influential movies.
-
B.
Raaj Kamal Films International
Raaj Kamal Films International is an Indian film production company founded by actor-filmmaker Kamal Haasan, known for producing numerous acclaimed Tamil-language movies.
-
C.
Lightning Pictures
Lightning Pictures is a film production company known for producing the 1990 thriller "Blue Steel."
-
D.
R. K. Films
R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
-
E.
Balaji Telefilms
Balaji Telefilms is a major Indian television and film production company known for creating numerous popular Hindi soap operas and entertainment content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007899b408190abcb7e72bdc81e9d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.