Triple
T11753776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmut Schön |
E279472
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schön |
E844299
|
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: Schön | Statement: [Helmut Schön, familyName, Schön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schön Context triple: [Helmut Schön, familyName, Schön]
-
A.
Schön
chosen
Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
-
B.
Liebst du um Schönheit
"Liebst du um Schönheit" is a lyrical art song best known from Gustav Mahler’s Rückert-Lieder, setting a love poem by Friedrich Rückert to music.
-
C.
Bei Mir Bist Du Schön
"Bei Mir Bist Du Schön" is a popular swing-era song, adapted from a Yiddish original, that became a major hit and signature tune for the Andrews Sisters in the late 1930s.
-
D.
Glück
Glück is the surname of Louise Glück, the American poet and Nobel Prize in Literature laureate.
-
E.
Beautiful
"Beautiful" is a 2003 hip hop/R&B single by Snoop Dogg featuring Pharrell Williams and Charlie Wilson, known for its smooth, laid-back vibe and memorable hook.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50b8a14819092a7397d73f0a8e3 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a21559c819097d0287dd8e2f411 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.