Triple

T13266137
Position Surface form Disambiguated ID Type / Status
Subject Arthur John Lawrence E315928 entity
Predicate spouse P13 FINISHED
Object Lydia Beardsall E1033962 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 Beardsall | Statement: [Arthur John Lawrence, spouse, Lydia Beardsall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia Beardsall
Context triple: [Arthur John Lawrence, spouse, Lydia Beardsall]
  • A. Lydia Beardsall chosen
    Lydia Beardsall is the birth name of Lydia Beardsall Lawrence, an individual known primarily in relation to that married identity.
  • B. Lydia Hampson
    Lydia Hampson is a British television producer best known for her work on acclaimed series such as Phoebe Waller-Bridge’s Fleabag.
  • 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 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.
  • E. Lydia Wilson
    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."
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7546e0b148190a78e6da408347690 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:25 p.m.