Triple

T17530698
Position Surface form Disambiguated ID Type / Status
Subject Karl Albrecht E426921 entity
Predicate name P16 FINISHED
Object Karl Albrecht 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: Karl Albrecht | Statement: [Karl Albrecht, name, Karl Albrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Albrecht
Context triple: [Karl Albrecht, name, Karl Albrecht]
  • A. Karl Albrecht chosen
    Karl Albrecht was a German businessman best known as the co-founder of the global discount supermarket chain Aldi.
  • B. Ernst Albrecht
    Ernst Albrecht was a German politician of the Christian Democratic Union who served as Minister-President of Lower Saxony from 1976 to 1990 and was the father of European Commission President Ursula von der Leyen.
  • C. Karl Theobald
    Karl Theobald is a British actor and comedian best known for his roles in television comedies such as "Twenty Twelve" and "Green Wing."
  • D. Karl Bernhard
    Karl Bernhard was a German engineer and architect known for his pioneering structural design work, including his collaboration on the innovative AEG Turbine Factory in Berlin.
  • E. Albrecht Schuch
    Albrecht Schuch is a German actor known for his acclaimed performances in film and television, including a prominent role in the 2022 adaptation of "All Quiet on the Western Front."
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.