Triple
T10140176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Schön |
E226960
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schön
Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
|
E844299
|
NE FINISHED |
How this triple was built (4 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: [Nancy Schön, familyName, Schön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schön Context triple: [Nancy Schön, familyName, Schön]
-
A.
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.
-
B.
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.
-
C.
Glück
Glück is the surname of Louise Glück, the American poet and Nobel Prize in Literature laureate.
-
D.
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.
-
E.
Beautiful
"Beautiful" is a critically acclaimed pop ballad by Christina Aguilera that became an empowering anthem about inner beauty and self-acceptance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Schön Triple: [Nancy Schön, familyName, Schön]
Generated description
Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schön Target entity description: Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
-
A.
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.
-
B.
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.
-
C.
Glück
Glück is the surname of Louise Glück, the American poet and Nobel Prize in Literature laureate.
-
D.
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.
-
E.
Beautiful
"Beautiful" is a critically acclaimed pop ballad by Christina Aguilera that became an empowering anthem about inner beauty and self-acceptance.
- F. None of above. chosen
Provenance (5 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e603d4548190a561e735c603946f |
completed | April 5, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69d2e7d9932c8190b1947df14f373f9c |
completed | April 5, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e8c425b88190b20f1706fe3343f4 |
completed | April 5, 2026, 10:57 p.m. |
Created at: March 30, 2026, 9:07 p.m.