Triple
T19273684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubeidaa |
E481991
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Shakti Kapoor
Shakti Kapoor is a veteran Indian film actor best known for his comic and villainous roles in numerous Bollywood movies since the late 1970s.
|
E1388276
|
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: Shakti Kapoor | Statement: [Zubeidaa, castMember, Shakti Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shakti Kapoor Context triple: [Zubeidaa, castMember, Shakti Kapoor]
-
A.
Annu Kapoor
Annu Kapoor is an Indian film and television actor, radio host, and television presenter known for his character roles and work on shows like "Antakshari."
-
B.
Krishna Kapoor
Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
-
C.
Seema Kapoor
Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
-
D.
Neetu Kapoor
Neetu Kapoor is an Indian film actress best known for her work in Hindi cinema from the 1970s and 1980s and for being part of the prominent Kapoor film family.
-
E.
Neha Kapur
Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
- 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: Shakti Kapoor Triple: [Zubeidaa, castMember, Shakti Kapoor]
Generated description
Shakti Kapoor is a veteran Indian film actor best known for his comic and villainous roles in numerous Bollywood movies since the late 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shakti Kapoor Target entity description: Shakti Kapoor is a veteran Indian film actor best known for his comic and villainous roles in numerous Bollywood movies since the late 1970s.
-
A.
Annu Kapoor
Annu Kapoor is an Indian film and television actor, radio host, and television presenter known for his character roles and work on shows like "Antakshari."
-
B.
Krishna Kapoor
Krishna Kapoor was the wife of legendary Indian filmmaker and actor Raj Kapoor and a matriarch of the prominent Kapoor family in Bollywood.
-
C.
Seema Kapoor
Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
-
D.
Neetu Kapoor
Neetu Kapoor is an Indian film actress best known for her work in Hindi cinema from the 1970s and 1980s and for being part of the prominent Kapoor film family.
-
E.
Neha Kapur
Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ecd79c881908ed825bd89e9f9b8 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077f979c048190b129a39ed0c02200 |
completed | May 15, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780f798888190847de6b2951d879b |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:29 p.m.