Triple

T21569894
Position Surface form Disambiguated ID Type / Status
Subject Simone Kahn E532256 entity
Predicate name P16 FINISHED
Object Simone Kahn NE NERFINISHED

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: Simone Kahn | Statement: [Simone Kahn, name, Simone Kahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simone Kahn
Context triple: [Simone Kahn, name, Simone Kahn]
  • A. Simone Kahn chosen
    Simone Kahn was a French intellectual and early supporter of the Surrealist movement, known for her close involvement with avant-garde circles in Paris in the 1920s.
  • B. Simone Smith
    Simone Smith is an American jewelry designer and entrepreneur best known for her long-term marriage to rapper and actor LL Cool J and her work in fashion and philanthropy.
  • C. Natalie Simon
    Natalie Simon is the protagonist of the 1998 slasher film "Urban Legend," a college student who becomes entangled in a series of murders mimicking popular urban myths.
  • D. Hannah Kahnwald
    Hannah Kahnwald is a central character in the German sci-fi thriller series "Dark," known for her complex relationships, manipulative behavior, and pivotal role across the show's intertwined timelines.
  • E. Simone Schiffrin
    Simone Schiffrin was the wife of French-Russian publisher Jacques Schiffrin, founder of the prestigious Bibliothèque de la Pléiade series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cb9718819094fc95b25df68bd1 completed April 27, 2026, 4:44 a.m.
Created at: April 16, 2026, 6:30 p.m.