Triple

T7050489
Position Surface form Disambiguated ID Type / Status
Subject Frans de Waal E163751 entity
Predicate familyName P18 FINISHED
Object de Waal E629830 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: de Waal | Statement: [Frans de Waal, familyName, de Waal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Waal
Context triple: [Frans de Waal, familyName, de Waal]
  • A. De Waal chosen
    De Waal is a small village on the Dutch Wadden Island of Texel in the province of North Holland, known for its rural character and traditional island architecture.
  • B. De Wit
    De Wit is a Dutch surname commonly borne by individuals of Dutch origin and often associated with historical figures from the Netherlands.
  • C. De Bonte Wever
    De Bonte Wever is a multifunctional sports and leisure complex in Assen, the Netherlands, featuring facilities such as swimming pools, fitness areas, and event spaces.
  • D. Lange Niezel
    Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
  • E. Rooseveldt
    Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24e7e20819099dc8f7fa37c4491 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7888bba9c8190b6414b56e5588ec0 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.