Triple

T11538236
Position Surface form Disambiguated ID Type / Status
Subject Edwina Ashley E273603 entity
Predicate givenName P17 FINISHED
Object Edwina E230615 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: Edwina | Statement: [Edwina Ashley, givenName, Edwina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edwina
Context triple: [Edwina Ashley, givenName, Edwina]
  • A. Edwina chosen
    Edwina is a feminine given name of Old English origin, meaning "rich friend" or "prosperous friend."
  • B. Edwina Ashley
    Edwina Ashley was a British heiress, socialite, and humanitarian who became Countess Mountbatten of Burma through her marriage to Louis Mountbatten.
  • C. Camilla Rutherford
    Camilla Rutherford is a British actress and former model best known for her roles in period dramas such as "Gosford Park" and "Gosford Park."
  • D. Edwina Brown
    Edwina Brown is a fictional character known as one of the Brown sisters in Enid Bagnold’s novel "National Velvet," set in the English countryside.
  • E. Edwina Booth
    Edwina Booth was the daughter of famed 19th-century American actor Edwin Booth and later became known for preserving and promoting her father's theatrical legacy.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839cdf688190ae75c0e6fece8e33 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7fe305c8190bbf981b2c0e63983 completed April 21, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:37 p.m.