Triple

T4373577
Position Surface form Disambiguated ID Type / Status
Subject Anne Isabella Milbanke E98951 entity
Predicate givenName P17 FINISHED
Object Anne Isabella
Anne Isabella was an English aristocrat and mathematician best known as the wife of the poet Lord Byron and the mother of computing pioneer Ada Lovelace.
E434890 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: Anne Isabella | Statement: [Anne Isabella Milbanke, givenName, Anne Isabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Isabella
Context triple: [Anne Isabella Milbanke, givenName, Anne Isabella]
  • A. Mary Adelaide
    Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
  • B. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • C. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • D. Lucy Russell
    Lucy Russell is a British actress known for her roles in films such as "Following" and "Angel."
  • E. Louisa Gummer
    Louisa Gummer is an American model and the daughter of actress Meryl Streep, known for her work in high-fashion campaigns and runway shows.
  • 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: Anne Isabella
Triple: [Anne Isabella Milbanke, givenName, Anne Isabella]
Generated description
Anne Isabella was an English aristocrat and mathematician best known as the wife of the poet Lord Byron and the mother of computing pioneer Ada Lovelace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne Isabella
Target entity description: Anne Isabella was an English aristocrat and mathematician best known as the wife of the poet Lord Byron and the mother of computing pioneer Ada Lovelace.
  • A. Mary Adelaide
    Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
  • B. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • C. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • D. Lucy Russell
    Lucy Russell is a British actress known for her roles in films such as "Following" and "Angel."
  • E. Louisa Gummer
    Louisa Gummer is an American model and the daughter of actress Meryl Streep, known for her work in high-fashion campaigns and runway shows.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35220fa648190b116e786783a7eba completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e512350081908da06038e3080a3e completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e58d77d88190b59e372eeec35195 completed March 14, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5e5fa68c08190a482cb7ea9030515 completed March 14, 2026, 10:49 p.m.
Created at: March 12, 2026, 11:17 p.m.