Triple

T22459566
Position Surface form Disambiguated ID Type / Status
Subject Mensje van Keulen E555194 entity
Predicate givenName P17 FINISHED
Object Mensje E555194 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: Mensje | Statement: [Mensje van Keulen, givenName, Mensje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mensje
Context triple: [Mensje van Keulen, givenName, Mensje]
  • A. Menslage
    Menslage is a small municipality in the district of Osnabrück in Lower Saxony, Germany, situated within the Samtgemeinde (collective municipality) of Artland.
  • B. Mwana
    "Mwana" is a popular hit song by Tanzanian singer Ali Kiba that helped solidify his status in the East African music scene.
  • C. Menig
    Menig is the surname of American folk singer-songwriter Alela Diane.
  • D. Mensje van Keulen chosen
    Mensje van Keulen is a Dutch writer known for her novels and short stories, often blending realism with the surreal and earning critical acclaim in contemporary Dutch literature.
  • E. Meis
    Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7e01fc8190825c3dc024484440 completed April 29, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c8217ac8190af16df3d941446ce completed May 18, 2026, 12:56 p.m.
Created at: April 16, 2026, 8:48 p.m.