Triple

T10153887
Position Surface form Disambiguated ID Type / Status
Subject Lydia Wilson E232719 entity
Predicate name P16 FINISHED
Object Lydia Wilson E232719 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: Lydia Wilson | Statement: [Lydia Wilson, name, Lydia Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia Wilson
Context triple: [Lydia Wilson, name, Lydia Wilson]
  • A. Lydia Wilson chosen
    Lydia Wilson is a British actress known for her work in film, television, and theatre, including roles in projects like "About Time" and the BBC drama "Ripper Street."
  • B. Lydia Woodward
    Lydia Woodward is an American television writer and producer best known for her work on the acclaimed medical drama series "ER."
  • C. Lydia Knott
    Lydia Knott was an American character actress of the silent and early sound film era, known for her supporting roles in numerous Hollywood productions of the 1910s and 1920s.
  • D. Lydia Leonard
    Lydia Leonard is a British actress known for her work on stage and screen, including acclaimed performances in productions such as "Wolf Hall" and various West End and television roles.
  • E. Lydia Tritton
    Lydia Tritton was an Australian journalist and public speaker best known as the second wife and later widow of Russian revolutionary leader Alexander Kerensky.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6d9da9c8190b77c248fb3731f30 completed April 9, 2026, 12:46 a.m.
Created at: March 30, 2026, 9:08 p.m.