Triple
T21428223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimple Chunnibhai Kapadia |
E528616
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lekin... |
—
|
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: Lekin... | Statement: [Dimple Chunnibhai Kapadia, notableWork, Lekin...]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lekin... Context triple: [Dimple Chunnibhai Kapadia, notableWork, Lekin...]
-
A.
Lekin...
chosen
Lekin... is a 1991 Hindi-language mystery drama film directed by Gulzar, known for its haunting atmosphere, poetic storytelling, and acclaimed performances, including that of Dimple Kapadia.
-
B.
Well...
"Well..." is a solo studio album by American actress and singer Katey Sagal, showcasing her work as a recording artist beyond her television career.
-
C.
Yine
Yine are an indigenous people of the Peruvian Amazon, known for their Arawakan language and traditional riverine livelihoods in the Ucayali and surrounding regions.
-
D.
Lukin
Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
-
E.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.