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.