Triple

T22395756
Position Surface form Disambiguated ID Type / Status
Subject Greenblatt E553625 entity
Predicate hasVariant P455 FINISHED
Object Grünblatt
Grünblatt is a German-language surname, literally meaning “green leaf,” that is borne by various individuals and families of German or Ashkenazi Jewish origin.
 E1533468 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: Grünblatt | Statement: [Greenblatt, hasVariant, Grünblatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grünblatt
Context triple: [Greenblatt, hasVariant, Grünblatt]
  • A. Kappus
    Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
  • B. Blume
    Blume is the family name of acclaimed English actress Claire Bloom, known for her work in film, television, and theatre.
  • C. Blume
    Blume was a 19th-century German-Dutch botanist known for his extensive work on the flora of Southeast Asia and the classification of numerous plant families.
  • D. Gottesacker
    Gottesacker is a German term meaning “God’s field,” traditionally used to refer to a Christian burial ground or cemetery.
  • E. Bluhm
    Bluhm is a surname most notably associated with Norman Bluhm, an American abstract expressionist painter.
  • 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: Grünblatt
Triple: [Greenblatt, hasVariant, Grünblatt]
Generated description
Grünblatt is a German-language surname, literally meaning “green leaf,” that is borne by various individuals and families of German or Ashkenazi Jewish origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grünblatt
Target entity description: Grünblatt is a German-language surname, literally meaning “green leaf,” that is borne by various individuals and families of German or Ashkenazi Jewish origin.
  • A. Kappus
    Kappus is a surname most notably associated with Franz Xaver Kappus, the Austrian officer, writer, and correspondent of poet Rainer Maria Rilke.
  • B. Blume
    Blume is the family name of acclaimed English actress Claire Bloom, known for her work in film, television, and theatre.
  • C. Blume
    Blume was a 19th-century German-Dutch botanist known for his extensive work on the flora of Southeast Asia and the classification of numerous plant families.
  • D. Gottesacker
    Gottesacker is a German term meaning “God’s field,” traditionally used to refer to a Christian burial ground or cemetery.
  • E. Bluhm
    Bluhm is a surname most notably associated with Norman Bluhm, an American abstract expressionist painter.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585e84b081908c95ed3e0d987ed8 completed April 29, 2026, 1:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9c6ad5481909d8138fd1d05bcca completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea3e17208190a0f4977d4117e7fc completed May 18, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeaa0110c8190b796ea8d52471ca1 completed May 18, 2026, 10:32 a.m.
Created at: April 16, 2026, 8:45 p.m.