Triple

T9706679
Position Surface form Disambiguated ID Type / Status
Subject Beata E234915 entity
Predicate hasVariant P455 FINISHED
Object Beate
Beate is a feminine given name used in various European countries, particularly in German-speaking regions.
 E815525 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: Beate | Statement: [Beata, hasVariant, Beate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beate
Context triple: [Beata, hasVariant, Beate]
  • A. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • B. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • C. Elfriede
    Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
  • D. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • E. Bärbel
    Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
  • 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: Beate
Triple: [Beata, hasVariant, Beate]
Generated description
Beate is a feminine given name used in various European countries, particularly in German-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beate
Target entity description: Beate is a feminine given name used in various European countries, particularly in German-speaking regions.
  • A. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • B. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • C. Elfriede
    Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
  • D. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • E. Bärbel
    Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da4c53c81908ba4bfe4d9ca8814 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1913aa6e4819081964cf9bcf24fca completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:19 p.m.