Triple
T6378537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Sam |
E143524
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Magic Sam |
E143524
|
NE FINISHED |
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 Sam | Statement: [Magic Sam, stageName, Magic Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Sam Context triple: [Magic Sam, stageName, Magic Sam]
-
A.
Magic Sam
chosen
Magic Sam was an influential American Chicago blues guitarist and singer known for his soulful vocals, stinging guitar tone, and modern West Side sound.
-
B.
Moses the Black
Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
-
C.
Dedi the magician
Dedi the magician is a legendary ancient Egyptian wonder-worker featured in the Westcar Papyrus, famed for performing miraculous feats such as reattaching severed heads.
-
D.
Magic Slim
Magic Slim was an American Chicago blues guitarist and singer renowned for his raw, electrifying style and influential recordings with his band the Teardrops.
-
E.
Roc the Panther
Roc the Panther is the costumed panther mascot representing the University of Pittsburgh at its athletic events and campus activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683ed0788190b00f626c76a71ea2 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63874aba88190a543f21e968fbc06 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:33 p.m.