Triple

T6215844
Position Surface form Disambiguated ID Type / Status
Subject Dean Rusk E138985 entity
Predicate familyName P18 FINISHED
Object Rusk
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
 E578279 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: Rusk | Statement: [Dean Rusk, familyName, Rusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rusk
Context triple: [Dean Rusk, familyName, Rusk]
  • A. La Russa
    La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
  • B. Burúśaski
    Burúśaski is a language isolate spoken primarily in northern Pakistan, notable for its unique grammatical structure and lack of proven relation to any other language family.
  • C. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • D. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • E. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • 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: Rusk
Triple: [Dean Rusk, familyName, Rusk]
Generated description
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rusk
Target entity description: Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
  • A. La Russa
    La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
  • B. Burúśaski
    Burúśaski is a language isolate spoken primarily in northern Pakistan, notable for its unique grammatical structure and lack of proven relation to any other language family.
  • C. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • D. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • E. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a0e0488190b71b42386bacf982 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dacf1788190a655c39bd248fde8 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c2141927288190bad4ec024997a45e completed March 24, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69c214d7f2d08190bd6dab4da08c97dc completed March 24, 2026, 4:36 a.m.
Created at: March 22, 2026, 4:21 p.m.