Triple

T21945842
Position Surface form Disambiguated ID Type / Status
Subject Vicky Krieps E541930 entity
Predicate familyName P18 FINISHED
Object Krieps
Krieps is a Luxembourgish surname most notably borne by acclaimed actress Vicky Krieps.
 E1509560 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: Krieps | Statement: [Vicky Krieps, familyName, Krieps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krieps
Context triple: [Vicky Krieps, familyName, Krieps]
  • A. Kripi
    Kripi is a character from the Indian epic Mahabharata, known as the wife of the warrior Dronacharya and the sister of Kripa.
  • B. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • C. Kruso
    Kruso is a critically acclaimed novel by Lutz Seiler that explores friendship, exile, and the final days of East Germany on a Baltic Sea island.
  • D. Krolloper
    Krolloper was a historic Berlin theater and opera house known for its innovative productions and its role as the meeting place of the Reichstag during the Weimar Republic.
  • E. Kruklanki
    Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
  • 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: Krieps
Triple: [Vicky Krieps, familyName, Krieps]
Generated description
Krieps is a Luxembourgish surname most notably borne by acclaimed actress Vicky Krieps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krieps
Target entity description: Krieps is a Luxembourgish surname most notably borne by acclaimed actress Vicky Krieps.
  • A. Kripi
    Kripi is a character from the Indian epic Mahabharata, known as the wife of the warrior Dronacharya and the sister of Kripa.
  • B. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • C. Kruso
    Kruso is a critically acclaimed novel by Lutz Seiler that explores friendship, exile, and the final days of East Germany on a Baltic Sea island.
  • D. Krolloper
    Krolloper was a historic Berlin theater and opera house known for its innovative productions and its role as the meeting place of the Reichstag during the Weimar Republic.
  • E. Kruklanki
    Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60f1f49c81909f6c17dad3bd0219 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a6200fb1c81909a4ab05fd368dafc completed May 18, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0a626731d8819097b209ae1375ae25 completed May 18, 2026, 12:50 a.m.
Created at: April 16, 2026, 7:57 p.m.