Triple

T21590247
Position Surface form Disambiguated ID Type / Status
Subject Walking with the Enemy E532758 entity
Predicate starredActor P5563 FINISHED
Object Simon Kunz 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: Simon Kunz | Statement: [Walking with the Enemy, starredActor, Simon Kunz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Kunz
Context triple: [Walking with the Enemy, starredActor, Simon Kunz]
  • A. Simon Kunz chosen
    Simon Kunz is a British actor known for his character roles in film, television, and theatre, including appearances in productions such as "The Bible" miniseries and "Four Weddings and a Funeral."
  • B. Bruno Wechner
    Bruno Wechner was an Austrian Roman Catholic prelate who became the inaugural bishop of the Diocese of Feldkirch.
  • C. Michael Kunze
    Michael Kunze is a German lyricist, librettist, and playwright best known for his work on major German-language musical theatre productions and pop song lyrics.
  • D. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • E. Michael Fuchs
    Michael Fuchs is an actor known for his role in the independent drama film "12 and Holding."
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadd0ec88190929c76137bd1603e completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.