Triple

T16310505
Position Surface form Disambiguated ID Type / Status
Subject EuroTrip E396041 entity
Predicate mainCharacter P1183 FINISHED
Object Mieke
Mieke is a central character in the comedy film "EuroTrip," known as the elusive European pen pal who motivates the protagonists' journey across Europe.
 E1206322 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: Mieke | Statement: [EuroTrip, mainCharacter, Mieke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mieke
Context triple: [EuroTrip, mainCharacter, Mieke]
  • A. Marike
    Marike is a feminine given name of Dutch and Afrikaans origin, commonly used in the Netherlands and South Africa.
  • B. Jopie
    Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
  • C. Jeetze
    Jeetze is a river in northern Germany that flows through the town of Salzwedel in the state of Saxony-Anhalt.
  • D. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • E. Rineke
    Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
  • 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: Mieke
Triple: [EuroTrip, mainCharacter, Mieke]
Generated description
Mieke is a central character in the comedy film "EuroTrip," known as the elusive European pen pal who motivates the protagonists' journey across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mieke
Target entity description: Mieke is a central character in the comedy film "EuroTrip," known as the elusive European pen pal who motivates the protagonists' journey across Europe.
  • A. Marike
    Marike is a feminine given name of Dutch and Afrikaans origin, commonly used in the Netherlands and South Africa.
  • B. Jopie
    Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
  • C. Jeetze
    Jeetze is a river in northern Germany that flows through the town of Salzwedel in the state of Saxony-Anhalt.
  • D. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • E. Rineke
    Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa6ceb48190b937a15b94fd3cfa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00219696dc8190bcce66c1eeb07561 completed May 10, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.