Triple
T18642762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maestro |
E455729
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The 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: The Maestro | Statement: [Maestro, alsoKnownAs, The Maestro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Maestro Context triple: [Maestro, alsoKnownAs, The Maestro]
-
A.
The Maestro
chosen
The Maestro is a track by the Beastie Boys from their 1992 album "Check Your Head," showcasing their fusion of hip-hop, rock, and funk.
-
B.
Maestro
Maestro is a Gibson-owned brand best known for its classic guitar effects pedals and related musical accessories.
-
C.
Maestro
"Maestro" is a popular song performed by iconic Russian singer Alla Pugacheva, known for its dramatic style and emotional delivery.
-
D.
Maestro
Maestro is a global debit card and electronic payment brand operated by Mastercard, commonly used for point-of-sale and ATM transactions.
-
E.
Maestro
Maestro is a biographical drama film centered on the life and relationships of legendary composer and conductor Leonard Bernstein.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.