Triple

T18865526
Position Surface form Disambiguated ID Type / Status
Subject Deborah Vivien Freeman-Mitford E461427 entity
Predicate alsoKnownAs P39 FINISHED
Object Debo
Debo is the nickname of Deborah Vivien Freeman-Mitford, Duchess of Devonshire, a British aristocrat, writer, and one of the famed Mitford sisters.
 E1347505 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: Debo | Statement: [Deborah Vivien Freeman-Mitford, alsoKnownAs, Debo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Debo
Context triple: [Deborah Vivien Freeman-Mitford, alsoKnownAs, Debo]
  • A. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • B. Dele
    Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
  • C. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • D. Diogu
    Diogu is the surname of Ike Diogu, a Nigerian-American professional basketball player known for his career in the NBA and international leagues.
  • E. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • 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: Debo
Triple: [Deborah Vivien Freeman-Mitford, alsoKnownAs, Debo]
Generated description
Debo is the nickname of Deborah Vivien Freeman-Mitford, Duchess of Devonshire, a British aristocrat, writer, and one of the famed Mitford sisters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Debo
Target entity description: Debo is the nickname of Deborah Vivien Freeman-Mitford, Duchess of Devonshire, a British aristocrat, writer, and one of the famed Mitford sisters.
  • A. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • B. Dele
    Dele is the commonly used first name of English professional footballer Dele Alli, known for his attacking midfield role for club and country.
  • C. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • D. Diogu
    Diogu is the surname of Ike Diogu, a Nigerian-American professional basketball player known for his career in the NBA and international leagues.
  • E. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a5074481908941fcbb3b3eefa2 completed April 20, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575b902ec8190bcda2ab33b87bea4 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a057927ddd881908809c9c27e1ae5a2 completed May 14, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0579982b4c8190a7cff4d2946bc15d completed May 14, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:57 a.m.