Triple
T23272874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Slim |
E588336
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Magic Slim |
—
|
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: Magic Slim | Statement: [Magic Slim, stageName, Magic Slim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Slim Context triple: [Magic Slim, stageName, Magic Slim]
-
A.
Magic Slim
chosen
Magic Slim was an American Chicago blues guitarist and singer renowned for his raw, electrifying style and influential recordings with his band the Teardrops.
-
B.
Magic Slim and the Teardrops
Magic Slim and the Teardrops was a renowned Chicago blues band led by guitarist and singer Magic Slim, known for its raw, electric sound and influential live performances.
-
C.
SLIM
SLIM is a Japanese lunar lander mission developed by JAXA to demonstrate high-precision, lightweight Moon-landing technology.
-
D.
Slim Flash
Slim Flash is a lightweight flash messaging component designed to integrate with the Slim Framework for handling temporary user notifications between HTTP requests.
-
E.
Magic Sam
Magic Sam was an influential American Chicago blues guitarist and singer known for his soulful vocals, stinging guitar tone, and modern West Side sound.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957518f88190bdd88ccc4e295668 |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:47 p.m.