Triple
T22102896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Lakhan |
E546213
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ashok Ghai |
—
|
NE NERFINISHED |
How this triple was built (3 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: Ashok Ghai | Statement: [Ram Lakhan, producer, Ashok Ghai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashok Ghai Context triple: [Ram Lakhan, producer, Ashok Ghai]
-
A.
Dilip Chitre
Dilip Chitre was a prominent Indian poet, translator, and filmmaker known for his influential Marathi and English writings and his role in modern Indian literature.
-
B.
Lalit Parimoo
Lalit Parimoo is an Indian film and television actor best known for his character roles in Hindi cinema and TV, including his notable performance in the superhero series "Shaktimaan."
-
C.
Ashok Saraf
Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
-
D.
B. R. Chopra
B. R. Chopra was a renowned Indian film director and producer celebrated for his influential Hindi cinema classics and socially conscious storytelling.
-
E.
Satish Kaushik
Satish Kaushik was an Indian actor, director, producer, and screenwriter known for his work in Hindi cinema and theatre, as well as for his memorable comic roles and acclaimed direction.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashok Ghai Target entity description: Ashok Ghai is an Indian film producer best known for backing popular Bollywood movies such as the 1989 action-drama "Ram Lakhan."
-
A.
Dilip Chitre
Dilip Chitre was a prominent Indian poet, translator, and filmmaker known for his influential Marathi and English writings and his role in modern Indian literature.
-
B.
Lalit Parimoo
Lalit Parimoo is an Indian film and television actor best known for his character roles in Hindi cinema and TV, including his notable performance in the superhero series "Shaktimaan."
-
C.
Ashok Saraf
Ashok Saraf is a veteran Indian actor and comedian best known for his prolific work in Marathi films and theatre, as well as memorable roles in Hindi cinema and television.
-
D.
B. R. Chopra
B. R. Chopra was a renowned Indian film director and producer celebrated for his influential Hindi cinema classics and socially conscious storytelling.
-
E.
Satish Kaushik
Satish Kaushik was an Indian actor, director, producer, and screenwriter known for his work in Hindi cinema and theatre, as well as for his memorable comic roles and acclaimed direction.
- F. None of above. chosen
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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.