Triple

T16260932
Position Surface form Disambiguated ID Type / Status
Subject Niki Lauda E394750 entity
Predicate spouse P13 FINISHED
Object Marlene Knaus E483987 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: Marlene Knaus | Statement: [Niki Lauda, spouse, Marlene Knaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlene Knaus
Context triple: [Niki Lauda, spouse, Marlene Knaus]
  • A. Marlene Knaus chosen
    Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
  • B. Kaye Elhardt
    Kaye Elhardt was an American actress known for her television and film work in the 1950s and 1960s.
  • C. Renée Hartmann
    Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
  • D. Barbara Henning
    Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
  • E. Sonja Jürgens
    Sonja Jürgens is known primarily as a daughter of the famous Austrian composer and singer Udo Jürgens.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c3e5388190942b0237ab5d1f0f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9a8d7481908c7bc4711ddacc13 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:04 a.m.