Triple

T20774685
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Funke E511324 entity
Predicate familyName P18 FINISHED
Object Funke
Funke is a German surname most notably borne by bestselling children's and young adult fantasy author Cornelia Funke.
E1449475 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: Funke | Statement: [Cornelia Funke, familyName, Funke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funke
Context triple: [Cornelia Funke, familyName, Funke]
  • A. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • B. Funka
    Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
  • C. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • D. Fayemi
    Fayemi is a Nigerian surname most prominently associated with Kayode Fayemi, a politician and former governor of Ekiti State.
  • E. Fola Esch
    Fola Esch is a prominent Luxembourgish football club known for competing in the country’s top division and maintaining strong local rivalries.
  • 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: Funke
Triple: [Cornelia Funke, familyName, Funke]
Generated description
Funke is a German surname most notably borne by bestselling children's and young adult fantasy author Cornelia Funke.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Funke
Target entity description: Funke is a German surname most notably borne by bestselling children's and young adult fantasy author Cornelia Funke.
  • A. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • B. Funka
    Funka is a small village in northern Poland known for its scenic lakeside setting and recreational access to Lake Charzykowskie.
  • C. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • D. Fayemi
    Fayemi is a Nigerian surname most prominently associated with Kayode Fayemi, a politician and former governor of Ekiti State.
  • E. Fola Esch
    Fola Esch is a prominent Luxembourgish football club known for competing in the country’s top division and maintaining strong local rivalries.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26a39bc81909ca5d102056d8586 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef95f3d0819088cab88673d49c28 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f015f37081909e7202a76a5814ea completed May 16, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a08f07dfb208190b00ad28d62e21de4 completed May 16, 2026, 10:32 p.m.
Created at: April 16, 2026, 12:37 p.m.