Triple

T21618332
Position Surface form Disambiguated ID Type / Status
Subject Will Swenson E533505 entity
Predicate familyName P18 FINISHED
Object Swenson
Swenson is a surname most notably associated with American stage and screen actor Will Swenson.
E1492537 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: Swenson | Statement: [Will Swenson, familyName, Swenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swenson
Context triple: [Will Swenson, familyName, Swenson]
  • A. Swanberg
    Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
  • B. Sievers
    Sievers is a German-language surname borne by various notable individuals across fields such as science, sports, and the arts.
  • C. Bendixsen
    Bendixsen is a surname most notably associated with Hans Ditlev Bendixsen, a prominent 19th-century Danish-American shipbuilder.
  • D. Swanson
    Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
  • E. Schollander
    Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
  • 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: Swenson
Triple: [Will Swenson, familyName, Swenson]
Generated description
Swenson is a surname most notably associated with American stage and screen actor Will Swenson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swenson
Target entity description: Swenson is a surname most notably associated with American stage and screen actor Will Swenson.
  • A. Swanberg
    Swanberg is a surname most notably associated with American independent filmmaker and actor Joe Swanberg, a key figure in the mumblecore movement.
  • B. Sievers
    Sievers is a German-language surname borne by various notable individuals across fields such as science, sports, and the arts.
  • C. Bendixsen
    Bendixsen is a surname most notably associated with Hans Ditlev Bendixsen, a prominent 19th-century Danish-American shipbuilder.
  • D. Swanson
    Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
  • E. Schollander
    Schollander is the surname of Don Schollander, an American swimmer renowned for winning multiple Olympic gold medals in the 1960s.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bac4a5c8190919c625c14a54c16 completed April 27, 2026, 10:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd43e18881909d7ae551efe1cbe5 completed May 17, 2026, 5:39 p.m.
NEDg Description generation batch_6a09fe19b604819085fed5f3d9591273 completed May 17, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09fedf812881908226e4d164b9d01a completed May 17, 2026, 5:46 p.m.
Created at: April 16, 2026, 6:34 p.m.