Triple

T5342293
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Connelly E123970 entity
Predicate hasChild P369 FINISHED
Object Agnes Lark Bettany E126404 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: Agnes Lark Bettany | Statement: [Jennifer Connelly, hasChild, Agnes Lark Bettany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes Lark Bettany
Context triple: [Jennifer Connelly, hasChild, Agnes Lark Bettany]
  • A. Agnes Lark Bettany chosen
    Agnes Lark Bettany is the daughter of American actress Jennifer Connelly and British actor Paul Bettany.
  • B. Agnes Ayres
    Agnes Ayres was an American silent film actress best known for her leading role opposite Rudolph Valentino in the 1921 romantic drama "The Sheik."
  • C. Lucy Lloyd
    Lucy Lloyd was a 19th-century South African linguist and ethnographer renowned for her pioneering documentation of the |Xam and other indigenous San languages and oral traditions.
  • D. Madeleine Potter
    Madeleine Potter is an American actress known for her work in film, television, and theatre, including prominent roles in literary adaptations.
  • E. Rose Narracott
    Rose Narracott is a character in Michael Morpurgo’s novel and its adaptations, depicted as Albert Narracott’s caring and resilient mother in the rural English family at the heart of War Horse.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cc5a9881909e23bf9c5b697a8e completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18cc387c8190a9fe430fe5bb38ce completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2:01 p.m.