Triple

T12937070
Position Surface form Disambiguated ID Type / Status
Subject Polly Toynbee E309539 entity
Predicate givenName P17 FINISHED
Object Mary Louisa
Mary Louisa is the full given name of British journalist and political commentator Polly Toynbee.
E1015230 NE FINISHED

How this triple was built (4 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: Mary Louisa | Statement: [Polly Toynbee, givenName, Mary Louisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Louisa
Context triple: [Polly Toynbee, givenName, Mary Louisa]
  • A. Louise Margaret
    Louise Margaret was a German princess who became Duchess of Connaught and Strathearn through her marriage to Prince Arthur, Duke of Connaught, a son of Queen Victoria.
  • B. Mary Josephine
    Mary Josephine is the birth name of Mae Capone, the wife of notorious American gangster Al Capone.
  • C. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • D. Letitia
    Letitia is a feminine given name of Latin origin, commonly associated with the meaning "joy" or "happiness."
  • E. Maria Louisa Hyde
    Maria Louisa Hyde was the wife of American businessman and philanthropist Enoch Pratt, noted for her connection to one of Baltimore’s most prominent 19th-century civic benefactors.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary Louisa
Triple: [Polly Toynbee, givenName, Mary Louisa]
Generated description
Mary Louisa is the full given name of British journalist and political commentator Polly Toynbee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Louisa
Target entity description: Mary Louisa is the full given name of British journalist and political commentator Polly Toynbee.
  • A. Louise Margaret
    Louise Margaret was a German princess who became Duchess of Connaught and Strathearn through her marriage to Prince Arthur, Duke of Connaught, a son of Queen Victoria.
  • B. Mary Josephine
    Mary Josephine is the birth name of Mae Capone, the wife of notorious American gangster Al Capone.
  • C. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • D. Letitia
    Letitia is a feminine given name of Latin origin, commonly associated with the meaning "joy" or "happiness."
  • E. Maria Louisa Hyde
    Maria Louisa Hyde was the wife of American businessman and philanthropist Enoch Pratt, noted for her connection to one of Baltimore’s most prominent 19th-century civic benefactors.
  • F. None of above. chosen

Provenance (5 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc76d688190bd58a23351373666 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0ec7e8081909fcff6cff11a9337 completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c30cf4f88190b0f2cf958df043c0 completed May 3, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6c38bc0b08190b76cb0853d99ad82 completed May 3, 2026, 3:39 a.m.
Created at: April 9, 2026, 5:43 p.m.