Triple

T12372353
Position Surface form Disambiguated ID Type / Status
Subject Chris Buescher E295033 entity
Predicate familyName P18 FINISHED
Object Buescher
Buescher is a surname most prominently associated with American stock car racing driver Chris Buescher.
E978156 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: Buescher | Statement: [Chris Buescher, familyName, Buescher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buescher
Context triple: [Chris Buescher, familyName, Buescher]
  • A. Busch
    Busch is a common German surname borne by numerous notable individuals across fields such as politics, the arts, and industry.
  • B. Speedco
    Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
  • C. Bauer Brothers
    Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
  • D. Holley
    Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
  • E. Bowersox
    Bowersox is a surname most notably associated with Kenneth D. Bowersox, a former NASA astronaut and U.S. Navy officer.
  • 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: Buescher
Triple: [Chris Buescher, familyName, Buescher]
Generated description
Buescher is a surname most prominently associated with American stock car racing driver Chris Buescher.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buescher
Target entity description: Buescher is a surname most prominently associated with American stock car racing driver Chris Buescher.
  • A. Busch
    Busch is a common German surname borne by numerous notable individuals across fields such as politics, the arts, and industry.
  • B. Speedco
    Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
  • C. Bauer Brothers
    Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
  • D. Holley
    Holley is a surname most notably associated with Alexander Lyman Holley, a prominent 19th-century American engineer and steel industry pioneer.
  • E. Bowersox
    Bowersox is a surname most notably associated with Kenneth D. Bowersox, a former NASA astronaut and U.S. Navy officer.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.