Triple

T7651251
Position Surface form Disambiguated ID Type / Status
Subject Kerstin Ekman E173256 entity
Predicate name P16 FINISHED
Object Kerstin Ekman E173256 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: Kerstin Ekman | Statement: [Kerstin Ekman, name, Kerstin Ekman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerstin Ekman
Context triple: [Kerstin Ekman, name, Kerstin Ekman]
  • A. Kerstin Ekman chosen
    Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
  • B. Annette Ekblom
    Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
  • C. Gunnel Persson
    Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
  • D. Karin Hansson
    Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
  • E. Åsa Wikforss
    Åsa Wikforss is a Swedish philosopher and professor known for her work in philosophy of language and epistemology, as well as for her public engagement in debates on knowledge and democracy.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a21b1ca881908ee73a418d4069a7 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:58 p.m.