Triple

T1496131
Position Surface form Disambiguated ID Type / Status
Subject Warren Buffett E29689 entity
Predicate spouse P13 FINISHED
Object Astrid Menks E70196 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: Astrid Menks | Statement: [Warren Buffett, spouse, Astrid Menks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astrid Menks
Context triple: [Warren Buffett, spouse, Astrid Menks]
  • A. Astrid Menks chosen
    Astrid Menks is a Latvian-American philanthropist and former cocktail waitress best known as the longtime partner and later wife of billionaire investor Warren Buffett.
  • B. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • C. Virginia Jansen
    Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
  • D. Francine Houben
    Francine Houben is a renowned Dutch architect and creative director of the architecture firm Mecanoo, known for her human-centered, context-sensitive designs such as the Library of Birmingham and Delft University of Technology Library.
  • E. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ec70c48190a94f6e1002848eae completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad468a1e088190b9f4acea4ad506b4 completed March 8, 2026, 9:51 a.m.
Created at: March 1, 2026, 8:12 p.m.