Triple
T17394903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Pachelbel |
E422928
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pachelbel |
—
|
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: Pachelbel | Statement: [Johann Pachelbel, familyName, Pachelbel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pachelbel Context triple: [Johann Pachelbel, familyName, Pachelbel]
-
A.
Johann Pachelbel
chosen
Johann Pachelbel was a German Baroque composer and organist best known for his Canon in D, one of the most famous pieces in Western classical music.
-
B.
Bach
Bach is a renowned German surname most famously associated with the Baroque composer Johann Sebastian Bach and his musically prolific family.
-
C.
Bach
Bach is a small locality or district that forms part of the town of Erbach an der Donau in Germany.
-
D.
Johann Sebastian Bach
Johann Sebastian Bach was a Baroque-era German composer and musician renowned for his complex, expressive works such as the Brandenburg Concertos, the Mass in B minor, and The Well-Tempered Clavier.
-
E.
Buxtehude
Buxtehude is a historic town in Lower Saxony, Germany, known for its medieval old town and location near Hamburg on the Este River.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abcd8b081908579ee9a80f65802 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.