Triple

T12627671
Position Surface form Disambiguated ID Type / Status
Subject The Honourable Lady Ogilvy E301557 entity
Predicate hasHolderChild P6882 FINISHED
Object Marina Ogilvy E301560 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: Marina Ogilvy | Statement: [The Honourable Lady Ogilvy, hasHolderChild, Marina Ogilvy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marina Ogilvy
Context triple: [The Honourable Lady Ogilvy, hasHolderChild, Marina Ogilvy]
  • A. Marina Ogilvy chosen
    Marina Ogilvy is a British aristocrat known as the daughter of Princess Alexandra of Kent and a member of the extended British royal family.
  • B. Julia Ogilvy
    Julia Ogilvy is a Scottish businesswoman and charity patron who married into the extended British royal family as the wife of James Ogilvy, a grandson of Queen Elizabeth II.
  • C. Emily Lloyd
    Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
  • D. Clarissa Luard
    Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
  • E. Elizabeth Rogers
    Elizabeth Rogers was an American actress known for her film and television roles in the 1960s and 1970s.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:14 p.m.