Triple

T14060350
Position Surface form Disambiguated ID Type / Status
Subject Jean Hagen E338327 entity
Predicate familyName P18 FINISHED
Object Verhagen E338328 NE FINISHED

How this triple was built (2 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: Verhagen | Statement: [Jean Hagen, familyName, Verhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verhagen
Context triple: [Jean Hagen, familyName, Verhagen]
  • A. Verhagen chosen
    Verhagen is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • B. Verhoeven
    Verhoeven is a Dutch surname most prominently associated with filmmaker Paul Verhoeven, known for his provocative and influential works in both European and Hollywood cinema.
  • C. Arjen
    Arjen is a Dutch male given name, notably borne by former professional footballer Arjen Robben.
  • D. Lovaart
    Lovaart is a canalized waterway in western Belgium that serves as a branch of the Yser River, used primarily for drainage and local navigation.
  • E. Veltman
    Veltman is a Dutch surname most notably associated with physicist Martinus Veltman, a Nobel laureate recognized for his work in particle physics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6654850819083262f3fb981eb1a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.