Triple
T21951176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glück |
E542072
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Glueck |
—
|
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: Glueck | Statement: [Glück, hasVariant, Glueck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glueck Context triple: [Glück, hasVariant, Glueck]
-
A.
Glück
chosen
Glück is the surname of Louise Glück, the American poet and Nobel Prize in Literature laureate.
-
B.
Glücks
Glücks is a German surname most notably borne by Richard Glücks, a high-ranking SS officer and inspector of Nazi concentration camps during World War II.
-
C.
Gültstein
Gültstein is a village and district (Stadtteil) of the town of Herrenberg in the state of Baden-Württemberg, Germany.
-
D.
Gabler
Gabler is a surname most notably associated with Milt Gabler, an influential American record producer and songwriter in jazz and popular music.
-
E.
Glückes genug
"Glückes genug" is one of the short, characterful piano pieces from Robert Schumann’s Kinderszenen, Op. 15, known for its gentle, contented mood.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.