Triple

T14015561
Position Surface form Disambiguated ID Type / Status
Subject Viktor Balck E337195 entity
Predicate givenName P17 FINISHED
Object Viktor E75938 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: Viktor | Statement: [Viktor Balck, givenName, Viktor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktor
Context triple: [Viktor Balck, givenName, Viktor]
  • A. Viktor
    Viktor is a powerful and ancient vampire elder from the "Underworld" film series, portrayed by actor Bill Nighy.
  • B. Viktor chosen
    Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
  • C. Eduard
    Eduard is the given name of Eduard Bernstein, a prominent German social democratic theorist and politician associated with revisionist Marxism.
  • D. Eduard
    Eduard is the given name of Eduard Tisse, a prominent Soviet cinematographer best known for his collaborations with director Sergei Eisenstein.
  • E. Eduard
    Eduard is the given name of Eduard Zeller, a notable 19th-century German philosopher and historian of philosophy.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15cbbb0819099b84032d65cfdb0 completed May 8, 2026, 1:13 p.m.
Created at: April 9, 2026, 10:19 p.m.