Triple

T463705
Position Surface form Disambiguated ID Type / Status
Subject Gavin E7397 entity
Predicate hasVariant P455 FINISHED
Object Gavan
Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
 E60780 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: Gavan | Statement: [Gavin, hasVariant, Gavan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gavan
Context triple: [Gavin, hasVariant, Gavan]
  • A. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • B. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • C. Fergus Cullen
    Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
  • D. Lennox Cato
    Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
  • E. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • 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: Gavan
Triple: [Gavin, hasVariant, Gavan]
Generated description
Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gavan
Target entity description: Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • A. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • B. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • C. Fergus Cullen
    Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
  • D. Lennox Cato
    Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
  • E. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efc214788190a8dff20fec4412e0 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4746c304881909deb0fdcde69c1c5 completed March 1, 2026, 5:16 p.m.
NEDg Description generation batch_69a474e9064481909290a3322a84bc30 completed March 1, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_69a4757e51fc8190b65c34cd523b45d1 completed March 1, 2026, 5:21 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.