Triple
T16588963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjay Leela Bhansali |
E403032
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Guzaarish
Guzaarish is a 2010 Indian drama film directed by Sanjay Leela Bhansali that explores euthanasia through the story of a quadriplegic magician turned radio jockey.
|
E1223145
|
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: Guzaarish | Statement: [Sanjay Leela Bhansali, notableWork, Guzaarish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guzaarish Context triple: [Sanjay Leela Bhansali, notableWork, Guzaarish]
-
A.
Bahaghari
Bahaghari is a studio album by Filipina singer and Broadway star Lea Salonga that features traditional Filipino folk songs interpreted in various Philippine languages.
-
B.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
C.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
D.
Guzarish
"Guzarish" is a popular romantic song from the 2008 Bollywood film *Ghajini*, known for its melodious composition and emotive lyrics.
-
E.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
- 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: Guzaarish Triple: [Sanjay Leela Bhansali, notableWork, Guzaarish]
Generated description
Guzaarish is a 2010 Indian drama film directed by Sanjay Leela Bhansali that explores euthanasia through the story of a quadriplegic magician turned radio jockey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guzaarish Target entity description: Guzaarish is a 2010 Indian drama film directed by Sanjay Leela Bhansali that explores euthanasia through the story of a quadriplegic magician turned radio jockey.
-
A.
Bahaghari
Bahaghari is a studio album by Filipina singer and Broadway star Lea Salonga that features traditional Filipino folk songs interpreted in various Philippine languages.
-
B.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
C.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
-
D.
Guzarish
"Guzarish" is a popular romantic song from the 2008 Bollywood film *Ghajini*, known for its melodious composition and emotive lyrics.
-
E.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599e79288190b6bcdb6fe4a2d1fa |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007599dcd4819089bbd0569b3d9a12 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0079bf50dc8190a20057ef8a738e1d |
completed | May 10, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007a34b42081908a77a3913c40377f |
completed | May 10, 2026, 12:29 p.m. |
Created at: April 10, 2026, 5:16 a.m.