Triple

T5234173
Position Surface form Disambiguated ID Type / Status
Subject Hans Albert Einstein E118181 entity
Predicate spouse P13 FINISHED
Object Frieda Knecht E57552 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: Frieda Knecht | Statement: [Hans Albert Einstein, spouse, Frieda Knecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frieda Knecht
Context triple: [Hans Albert Einstein, spouse, Frieda Knecht]
  • A. Frieda Knecht chosen
    Frieda Knecht was the wife of Hans Albert Einstein, the second son of physicist Albert Einstein.
  • B. Luisa Neubauer
    Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
  • C. Marie-Thérèse Walter
    Marie-Thérèse Walter was a French woman best known as Pablo Picasso’s muse and lover, who inspired many of his most celebrated portraits and sculptures in the 1930s.
  • D. Helene Weber
    Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
  • E. Marie Kreutz
    Marie Kreutz is a free-spirited German drifter who becomes Jason Bourne’s reluctant ally and love interest in the action thriller film "The Bourne Identity."
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b04c03481908d901788ce2c4128 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe6323708190bfc95f01c65dc234 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:49 p.m.