Triple
T22094681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chachi 420 |
E545993
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ayesha Jhulka |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Chachi 420, castMember, Ayesha Jhulka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayesha Jhulka Context triple: [Chachi 420, castMember, Ayesha Jhulka]
-
A.
Ayesha Jhulka
chosen
Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
-
B.
Zeenat Lakhani
Zeenat Lakhani is an Indian screenwriter best known for co-writing the acclaimed Hindi film "Hindi Medium."
-
C.
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.
-
D.
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.
-
E.
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).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.