Triple

T9949293
Position Surface form Disambiguated ID Type / Status
Subject Butz E195286 entity
Predicate hasNotableBearer P458 FINISHED
Object Charles Butz
Charles Butz is an individual notable enough to be recognized as a bearer of the surname Butz, though specific widely known achievements or roles are not clearly documented.
E866741 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: Charles Butz | Statement: [Butz, hasNotableBearer, Charles Butz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Butz
Context triple: [Butz, hasNotableBearer, Charles Butz]
  • A. Arthur Butz
    Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
  • B. Albert Butz
    Albert Butz was a Swiss-born American inventor and businessman best known for creating an early thermostat and founding the company that would later become part of Honeywell.
  • C. Peter Butz
    Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Robert Butz
    Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
  • E. David Buttolph
    David Buttolph was an American film composer and arranger known for scoring numerous Hollywood movies from the 1930s through the 1950s.
  • 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: Charles Butz
Triple: [Butz, hasNotableBearer, Charles Butz]
Generated description
Charles Butz is an individual notable enough to be recognized as a bearer of the surname Butz, though specific widely known achievements or roles are not clearly documented.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charles Butz
Target entity description: Charles Butz is an individual notable enough to be recognized as a bearer of the surname Butz, though specific widely known achievements or roles are not clearly documented.
  • A. Arthur Butz
    Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
  • B. Albert Butz
    Albert Butz was a Swiss-born American inventor and businessman best known for creating an early thermostat and founding the company that would later become part of Honeywell.
  • C. Peter Butz
    Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Robert Butz
    Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
  • E. David Buttolph
    David Buttolph was an American film composer and arranger known for scoring numerous Hollywood movies from the 1930s through the 1950s.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb65a4e6c8190968192a24aad1b7d completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbe24a64819098bc94a8a62cc46b completed April 10, 2026, 11:15 a.m.
NEDg Description generation batch_69d8e8c683608190aa4333ed38e79f53 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901c7684c8190837ed9ef0c2428af completed April 10, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:45 p.m.