Triple

T19000051
Position Surface form Disambiguated ID Type / Status
Subject Agron E464923 entity
Predicate portrayedBy P1507 FINISHED
Object Daniel Feuerriegel 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: Daniel Feuerriegel | Statement: [Agron, portrayedBy, Daniel Feuerriegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Feuerriegel
Context triple: [Agron, portrayedBy, Daniel Feuerriegel]
  • A. Dan Feuerriegel chosen
    Dan Feuerriegel is an Australian actor best known for his role as the gladiator Agron in the television series Spartacus.
  • B. Daniel von Bargen
    Daniel von Bargen was an American character actor known for his authoritative and often villainous roles in film and television, including appearances in projects like "The General’s Daughter," "Seinfeld," and "Malcolm in the Middle."
  • C. Martin Hammitzsch
    Martin Hammitzsch was a German civil engineer and architect best known as the second husband of Angela Hitler, Adolf Hitler’s half-sister.
  • D. Christian Brandauer
    Christian Brandauer is the son of Austrian actor and director Klaus Maria Brandauer.
  • E. Matthias Grunsky
    Matthias Grunsky is an Austrian cinematographer known for his long-time collaboration with director Andrew Bujalski on acclaimed independent films.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d684d37c8190b975f04a47fa7b92 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.