Triple
T22428376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magician’s Elephant |
E554431
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Aasif Mandvi |
—
|
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: Aasif Mandvi | Statement: [The Magician’s Elephant, stars, Aasif Mandvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aasif Mandvi Context triple: [The Magician’s Elephant, stars, Aasif Mandvi]
-
A.
Aasif Mandvi
chosen
Aasif Mandvi is a British-American actor, comedian, and writer best known for his work as a correspondent on The Daily Show and for roles in film, television, and theater.
-
B.
Sajid Khan
Sajid Khan is the young British-Pakistani boy at the center of the film "East Is East," whose struggles with identity and family expectations drive the story.
-
C.
Azim Surani
Azim Surani is a British developmental biologist renowned for his pioneering work on mammalian germ cell development and genomic imprinting.
-
D.
Vaseem Khan
Vaseem Khan is a British crime fiction author best known for his Baby Ganesh Agency series set in India and his Malabar House historical crime novels.
-
E.
Sacha Dhawan
Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2f054c819093fbe173c8a4a544 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.