Triple

T21664900
Position Surface form Disambiguated ID Type / Status
Subject Josephine Hart E534687 entity
Predicate spouse P13 FINISHED
Object Maurice Saatchi 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: Maurice Saatchi | Statement: [Josephine Hart, spouse, Maurice Saatchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Saatchi
Context triple: [Josephine Hart, spouse, Maurice Saatchi]
  • A. Maurice Saatchi chosen
    Maurice Saatchi is a British advertising executive and Conservative politician, best known as the co-founder of the influential advertising agency Saatchi & Saatchi.
  • B. Charles Saatchi
    Charles Saatchi is a British advertising executive and influential art collector best known for championing the Young British Artists movement.
  • C. Philip Green
    Philip Green was a British film and television composer and conductor known for his prolific work on mid-20th-century soundtracks.
  • D. Kay Saatchi
    Kay Saatchi is a British art collector and curator known for her involvement in the contemporary art scene and her former marriage to advertising magnate Charles Saatchi.
  • E. Mortimer Sackler
    Mortimer Sackler was an American psychiatrist, pharmaceutical executive, and co-owner of Purdue Pharma, known for his role in the development and aggressive marketing of OxyContin.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0b26c8819092c13e59dcc3c25c completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.