Triple

T18965342
Position Surface form Disambiguated ID Type / Status
Subject Pamela Mitford E464019 entity
Predicate mother P120 FINISHED
Object Sydney Bowles 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: Sydney Bowles | Statement: [Pamela Mitford, mother, Sydney Bowles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Bowles
Context triple: [Pamela Mitford, mother, Sydney Bowles]
  • A. Sydney Bowles chosen
    Sydney Bowles was the mother of Deborah Cavendish, Duchess of Devonshire, and a member of the early 20th-century British social and literary circles connected to the Mitford family.
  • B. Lisa Bennett
    Lisa Bennett is the paternal grandmother of Marli Bennett.
  • C. Lisa Bowden
    Lisa Bowden is a character in the television series "The Flight Attendant," known as the responsible and grounded sister of the main character, Cassie Bowden.
  • D. Elizabeth Shue
    Elizabeth Shue is an American actress known for her roles in films such as "The Karate Kid," "Back to the Future Part II and III," and "Leaving Las Vegas," for which she received an Academy Award nomination.
  • E. Renée Dwyer
    Renée Dwyer is Bella Swan’s free-spirited, somewhat scatterbrained mother in the Twilight series, known for her warm but unconventional parenting style.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d663948190b496fbd2e69c7f43 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon