Triple

T10588641
Position Surface form Disambiguated ID Type / Status
Subject Hollander E249923 entity
Predicate hasVariant P455 FINISHED
Object Holländer E249923 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: Holländer | Statement: [Hollander, hasVariant, Holländer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holländer
Context triple: [Hollander, hasVariant, Holländer]
  • A. Rijk
    Rijk is a Dutch given name, notably borne by the actor and writer Rijk de Gooyer.
  • B. Hollander chosen
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • C. Great Holland
    Great Holland is a small village in Essex, England, situated near the coastal town of Frinton-on-Sea.
  • D. Oland
    Oland is a small Hallig island in the North Frisian archipelago off the coast of Germany, known for its tidal landscape and traditional thatched-roof houses.
  • E. Gelderlander
    Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527793c588190bfe3a5261eb7f919 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b9440548190bff01847a940266b completed April 10, 2026, 7:12 p.m.
Created at: April 6, 2026, 12:40 p.m.