Triple
T21945032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andhadhun |
E541911
|
entity |
| Predicate | hasRemake |
P21944
|
FINISHED |
| Object | Maestro |
—
|
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: Maestro | Statement: [Andhadhun, hasRemake, Maestro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maestro Context triple: [Andhadhun, hasRemake, Maestro]
-
A.
Maestro
Maestro is a global debit card and electronic payment brand operated by Mastercard, commonly used for point-of-sale and ATM transactions.
-
B.
Maestro
Maestro is a powerful, villainous future version of the Hulk who possesses Bruce Banner’s intellect combined with the Hulk’s immense strength and rules as a tyrant in a post-apocalyptic world.
-
C.
Maestro
Maestro is a celebrated nickname for Swiss tennis legend Roger Federer, highlighting his graceful, masterful style of play.
-
D.
Maestro
chosen
Maestro is a biographical drama film centered on the life and relationships of legendary composer and conductor Leonard Bernstein.
-
E.
Maestro
"Maestro" is a popular song performed by iconic Russian singer Alla Pugacheva, known for its dramatic style and emotional delivery.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.