Triple
T22442068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dev Anand |
E554776
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kalpana Kartik |
—
|
NE NERFINISHED |
How this triple was built (3 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: Kalpana Kartik | Statement: [Dev Anand, spouse, Kalpana Kartik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalpana Kartik Context triple: [Dev Anand, spouse, Kalpana Kartik]
-
A.
Kalpana Raghavendar
Kalpana Raghavendar is an Indian playback singer known for her work in South Indian cinema and for gaining popularity through music reality shows.
-
B.
Kalpana Pandit
Kalpana Pandit is an Indian actress, model, and emergency physician known for her work in Hindi and regional films as well as her participation in Indian reality television.
-
C.
Kalpana Das
Kalpana Das is an Indian legal professional known primarily as the wife of Chief Justice of India Dhananjaya Y. Chandrachud.
-
D.
Kalpana Saroj
Kalpana Saroj is an Indian entrepreneur and former child bride who rose from extreme poverty and caste-based discrimination to become a highly successful business leader, often described as one of the inspirations for the “Slumdog Millionaire” story.
-
E.
Kalpana Lajmi
Kalpana Lajmi was an Indian film director, producer, and screenwriter known for her socially conscious, women-centric films in parallel cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalpana Kartik Target entity description: Kalpana Kartik is an Indian former actress best known for her work in 1950s Hindi cinema and her marriage to legendary film star Dev Anand.
-
A.
Kalpana Raghavendar
Kalpana Raghavendar is an Indian playback singer known for her work in South Indian cinema and for gaining popularity through music reality shows.
-
B.
Kalpana Pandit
Kalpana Pandit is an Indian actress, model, and emergency physician known for her work in Hindi and regional films as well as her participation in Indian reality television.
-
C.
Kalpana Das
Kalpana Das is an Indian legal professional known primarily as the wife of Chief Justice of India Dhananjaya Y. Chandrachud.
-
D.
Kalpana Saroj
Kalpana Saroj is an Indian entrepreneur and former child bride who rose from extreme poverty and caste-based discrimination to become a highly successful business leader, often described as one of the inspirations for the “Slumdog Millionaire” story.
-
E.
Kalpana Lajmi
Kalpana Lajmi was an Indian film director, producer, and screenwriter known for her socially conscious, women-centric films in parallel cinema.
- F. None of above. chosen
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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.