Triple

T9450299
Position Surface form Disambiguated ID Type / Status
Subject Diane Alexander E227869 entity
Predicate hasChild P369 FINISHED
Object Sofia Richie E103493 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: Sofia Richie | Statement: [Diane Alexander, hasChild, Sofia Richie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Richie
Context triple: [Diane Alexander, hasChild, Sofia Richie]
  • A. Sofia Richie chosen
    Sofia Richie is an American model and social media personality known for her fashion work with major brands and her presence in celebrity culture.
  • B. Juliana Awada
    Juliana Awada is an Argentine businesswoman and former First Lady of Argentina, known for her role during Mauricio Macri’s presidency and her influence in fashion and social causes.
  • C. Sophia Strahan
    Sophia Strahan is one of former NFL star and television host Michael Strahan’s twin daughters, known publicly through her appearances with her father in media and on social platforms.
  • D. Hadley Richardson
    Hadley Richardson was the first wife of Ernest Hemingway and a central figure in his early life in Paris, later immortalized in his memoir "A Moveable Feast."
  • E. Haley Hudson
    Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12268429c8190bf2fd0f3ea4dac4a completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:51 p.m.