Triple
T21951171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Glück |
E542072
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Glück |
—
|
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: Glück | Statement: [Louise Glück, familyName, Glück]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glück Context triple: [Louise Glück, familyName, Glück]
-
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.
Die Happy
Die Happy is a Christian rock band known for its melodic hard rock sound and spiritually themed lyrics.
-
D.
The Joy
The Joy is a Nigerian gospel music collective known for its vibrant, contemporary worship sound and collaborations within the GOOD Fridays release series.
-
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.