Triple

T4440742
Position Surface form Disambiguated ID Type / Status
Subject Son of God (2014 film) E95763 entity
Predicate star P23405 FINISHED
Object Sebastian Knapp E443413 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: Sebastian Knapp | Statement: [Son of God (2014 film), star, Sebastian Knapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Knapp
Context triple: [Son of God (2014 film), star, Sebastian Knapp]
  • A. Sebastian Knapp chosen
    Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
  • B. Sebastian Rudolph
    Sebastian Rudolph is a German actor known for his work in film, television, and theater, including roles in historical and dramatic productions.
  • C. Stephan Sauer
    Stephan Sauer is a notable individual who shares the surname Sauer and is recognized for achievements significant enough to be specifically referenced.
  • D. Sebastian Maltz
    Sebastian Maltz is an actor known for his role in the television drama series "Patrick Melrose."
  • E. Matthias Ringmann
    Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65104d76081908d9164a7deb84277 completed March 15, 2026, 6:26 a.m.
Created at: March 12, 2026, 11:32 p.m.