Triple

T13306030
Position Surface form Disambiguated ID Type / Status
Subject Maarten ’t Hart E316935 entity
Predicate notableWork P4 FINISHED
Object De nakomer (well-known novel) E1032039 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 nakomer (well-known novel) | Statement: [Maarten ’t Hart, notableWork, De nakomer (well-known novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De nakomer (well-known novel)
Context triple: [Maarten ’t Hart, notableWork, De nakomer (well-known novel)]
  • A. De nakomer chosen
    De nakomer is a Dutch novel by Maarten ’t Hart that explores themes of identity, memory, and personal transformation.
  • B. The King of the Novel
    The King of the Novel is a short piece by John Irving, included in his collection "Trying to Save Piggy Sneed," that reflects on the craft and stature of the novelist.
  • C. The Novo
    The Novo is a mid-sized live music and entertainment venue in downtown Los Angeles known for hosting concerts, special events, and performances.
  • D. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • E. Tine Havelaar
    Tine Havelaar is a character in Multatuli’s novel "Max Havelaar," depicted as the devoted and morally upright wife of the protagonist.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266a316c81908361acc75581f211 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:28 p.m.