Triple

T460476
Position Surface form Disambiguated ID Type / Status
Subject Jenny Durkan E7325 entity
Predicate familyName P18 FINISHED
Object Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
 E58445 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: Durkan | Statement: [Jenny Durkan, familyName, Durkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Durkan
Context triple: [Jenny Durkan, familyName, Durkan]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • C. Cullen
    Cullen is a surname of Irish and Scottish origin borne by various notable individuals across politics, sports, and the arts.
  • D. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • E. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • 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: Durkan
Triple: [Jenny Durkan, familyName, Durkan]
Generated description
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Durkan
Target entity description: Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • C. Cullen
    Cullen is a surname of Irish and Scottish origin borne by various notable individuals across politics, sports, and the arts.
  • D. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • E. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • 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_69a2efbd6ed481909ec40f12b5b675c8 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fed1548190b50d72886828b650 completed March 1, 2026, 3:15 p.m.
NEDg Description generation batch_69a4589d77408190b2d1b49e38b4ca4e completed March 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69a45908403081909980377fe1741c41 completed March 1, 2026, 3:19 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.