Triple

T12811139
Position Surface form Disambiguated ID Type / Status
Subject Jeroen Krabbé E306272 entity
Predicate familyName P18 FINISHED
Object Krabbé
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
 E1005469 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: Krabbé | Statement: [Jeroen Krabbé, familyName, Krabbé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krabbé
Context triple: [Jeroen Krabbé, familyName, Krabbé]
  • A. Gotaas-Larsen
    Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
  • B. Hurler
    Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
  • C. Beaudine
    Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
  • D. Joubert
    Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
  • E. Andermann
    Andermann is a German-language surname borne by individuals such as Hermine Andermann.
  • 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: Krabbé
Triple: [Jeroen Krabbé, familyName, Krabbé]
Generated description
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krabbé
Target entity description: Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
  • A. Gotaas-Larsen
    Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
  • B. Hurler
    Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
  • C. Beaudine
    Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
  • D. Joubert
    Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
  • E. Andermann
    Andermann is a German-language surname borne by individuals such as Hermine Andermann.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eca9b448190a819b3807fdbc3f8 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f69277d3d88190abce800c01a8026c completed May 3, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6938150608190a61206cefa3eca1e completed May 3, 2026, 12:14 a.m.
Created at: April 9, 2026, 5:31 p.m.