Triple
T16183347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Jeeta Wohi Sikandar |
E392738
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ayesha Jhulka
Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
|
E1199378
|
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 Jhulka | Statement: [Jo Jeeta Wohi Sikandar, starring, Ayesha Jhulka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayesha Jhulka Context triple: [Jo Jeeta Wohi Sikandar, starring, Ayesha Jhulka]
-
A.
Neelima Azeem
Neelima Azeem is an Indian actress and classical Kathak dancer known for her work in television, film, and theatre, as well as being the mother of Bollywood actor Shahid Kapoor.
-
B.
Shibani Khan
Shibani Khan, also known as Muhammad Shaybani, was a prominent Uzbek ruler and military leader who founded the Shaybanid dynasty in Central Asia in the late 15th and early 16th centuries.
-
C.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
D.
Bhumika Chawla
Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
-
E.
Kajal Aggarwal
Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
- 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 Jhulka Triple: [Jo Jeeta Wohi Sikandar, starring, Ayesha Jhulka]
Generated description
Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ayesha Jhulka Target entity description: Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
-
A.
Neelima Azeem
Neelima Azeem is an Indian actress and classical Kathak dancer known for her work in television, film, and theatre, as well as being the mother of Bollywood actor Shahid Kapoor.
-
B.
Shibani Khan
Shibani Khan, also known as Muhammad Shaybani, was a prominent Uzbek ruler and military leader who founded the Shaybanid dynasty in Central Asia in the late 15th and early 16th centuries.
-
C.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
D.
Bhumika Chawla
Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
-
E.
Kajal Aggarwal
Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.