Triple
T21945194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golmaal Again |
E541915
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sangeeta Ahir
Sangeeta Ahir is an Indian film producer known for backing several successful Bollywood movies, including major commercial entertainers.
|
E1532625
|
NE FINISHED |
How this triple was built (4 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: Sangeeta Ahir | Statement: [Golmaal Again, producer, Sangeeta Ahir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangeeta Ahir Context triple: [Golmaal Again, producer, Sangeeta Ahir]
-
A.
Chitra Singh
Chitra Singh is an acclaimed Indian ghazal singer, best known for her soulful duets with her late husband Jagjit Singh and for popularizing modern ghazal music.
-
B.
Shilpa Sahi
Shilpa Sahi is a film editor best known for her work on the horror movie "The Last Exorcism."
-
C.
Seema Sisodia
Seema Sisodia is the wife of Indian politician and former Delhi Deputy Chief Minister Manish Sisodia.
-
D.
Kumud Mishra
Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
-
E.
Chetna Maroo
Chetna Maroo is a British-Kenyan author best known for her acclaimed debut novel "Western Lane," which was shortlisted for the Booker Prize.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sangeeta Ahir Triple: [Golmaal Again, producer, Sangeeta Ahir]
Generated description
Sangeeta Ahir is an Indian film producer known for backing several successful Bollywood movies, including major commercial entertainers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sangeeta Ahir Target entity description: Sangeeta Ahir is an Indian film producer known for backing several successful Bollywood movies, including major commercial entertainers.
-
A.
Chitra Singh
Chitra Singh is an acclaimed Indian ghazal singer, best known for her soulful duets with her late husband Jagjit Singh and for popularizing modern ghazal music.
-
B.
Shilpa Sahi
Shilpa Sahi is a film editor best known for her work on the horror movie "The Last Exorcism."
-
C.
Seema Sisodia
Seema Sisodia is the wife of Indian politician and former Delhi Deputy Chief Minister Manish Sisodia.
-
D.
Kumud Mishra
Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
-
E.
Chetna Maroo
Chetna Maroo is a British-Kenyan author best known for her acclaimed debut novel "Western Lane," which was shortlisted for the Booker Prize.
- F. None of above. chosen
Provenance (5 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae04516308190b89d9ecf960e6acf |
completed | May 18, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_6a0ae2cff2188190a4e3bcbd2bb559a3 |
completed | May 18, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae36819548190a475410927ea89f3 |
completed | May 18, 2026, 10:01 a.m. |
Created at: April 16, 2026, 7:56 p.m.