Triple
T22012305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black (2005 film) |
E543606
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ayesha Kapur
Ayesha Kapur is an Indian actress best known for her acclaimed performance as the young Michelle McNally in the Hindi film "Black" (2005).
|
E1528489
|
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: Ayesha Kapur | Statement: [Black (2005 film), starring, Ayesha Kapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayesha Kapur Context triple: [Black (2005 film), starring, Ayesha Kapur]
-
A.
Zeenat Lakhani
Zeenat Lakhani is an Indian screenwriter best known for co-writing the acclaimed Hindi film "Hindi Medium."
-
B.
Sanah Kapur
Sanah Kapur is an Indian actress known for her supporting role in the film "Shaandaar" and for being part of the Kapur film family.
-
C.
Ayesha Jhulka
Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
-
D.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
E.
Pooja Batra
Pooja Batra is an Indian actress and former model best known for her work in Hindi cinema during the 1990s and early 2000s.
- 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: Ayesha Kapur Triple: [Black (2005 film), starring, Ayesha Kapur]
Generated description
Ayesha Kapur is an Indian actress best known for her acclaimed performance as the young Michelle McNally in the Hindi film "Black" (2005).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ayesha Kapur Target entity description: Ayesha Kapur is an Indian actress best known for her acclaimed performance as the young Michelle McNally in the Hindi film "Black" (2005).
-
A.
Zeenat Lakhani
Zeenat Lakhani is an Indian screenwriter best known for co-writing the acclaimed Hindi film "Hindi Medium."
-
B.
Sanah Kapur
Sanah Kapur is an Indian actress known for her supporting role in the film "Shaandaar" and for being part of the Kapur film family.
-
C.
Ayesha Jhulka
Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
-
D.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
E.
Pooja Batra
Pooja Batra is an Indian actress and former model best known for her work in Hindi cinema during the 1990s and early 2000s.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abc8ca68c8190a41a91b8ef532390 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abd99c9f481909a3ef5d32a1d5774 |
completed | May 18, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf213878819085413d22a824fe58 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:22 p.m.