Triple
T22229330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikandar Kher |
E549425
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Dukaan
"Dukaan" is an Indian film featuring Sikandar Kher, known for its socially relevant storyline and his notable performance.
|
E1525274
|
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: Dukaan | Statement: [Sikandar Kher, notableWork, Dukaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dukaan Context triple: [Sikandar Kher, notableWork, Dukaan]
-
A.
Dhumakot
Dhumakot is a small town in the hilly region of Uttarakhand, India, known for its rural setting and scenic surroundings.
-
B.
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.
-
C.
Dookudu
Dookudu is a 2011 Telugu-language action-comedy film widely recognized as one of Mahesh Babu’s biggest commercial hits and a landmark in contemporary mainstream Telugu cinema.
-
D.
Ghari
Ghari is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
E.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
- 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: Dukaan Triple: [Sikandar Kher, notableWork, Dukaan]
Generated description
"Dukaan" is an Indian film featuring Sikandar Kher, known for its socially relevant storyline and his notable performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dukaan Target entity description: "Dukaan" is an Indian film featuring Sikandar Kher, known for its socially relevant storyline and his notable performance.
-
A.
Dhumakot
Dhumakot is a small town in the hilly region of Uttarakhand, India, known for its rural setting and scenic surroundings.
-
B.
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.
-
C.
Dookudu
Dookudu is a 2011 Telugu-language action-comedy film widely recognized as one of Mahesh Babu’s biggest commercial hits and a landmark in contemporary mainstream Telugu cinema.
-
D.
Ghari
Ghari is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
E.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf173308190a3d21bfc59b39728 |
completed | April 28, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae75b2ac819083289b84fd3b6dd7 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0aaf211d8481908e7c23e35e920e87 |
completed | May 18, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab01b5cd48190bf67942798e4db45 |
completed | May 18, 2026, 6:22 a.m. |
Created at: April 16, 2026, 8:37 p.m.