Triple

T9949294
Position Surface form Disambiguated ID Type / Status
Subject Butz E195286 entity
Predicate hasNotableBearer P458 FINISHED
Object Frank Butz
Frank Butz is a relatively obscure individual known primarily for sharing the surname "Butz" rather than for widely recognized public achievements.
E843042 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: Frank Butz | Statement: [Butz, hasNotableBearer, Frank Butz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Butz
Context triple: [Butz, hasNotableBearer, Frank Butz]
  • A. Arthur Butz
    Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
  • B. Ron Vawter
    Ron Vawter was an American actor best known for his work with the experimental theater company The Wooster Group and for his intense, boundary-pushing stage and film performances.
  • C. Peter Butz
    Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Steve Butz
    Steve Butz is a notable individual recognized for achievements that have brought distinction to the surname Butz.
  • E. Dave Butz
    Dave Butz was a dominant American football defensive tackle best known for his long NFL career with the Washington Redskins, where he became a key part of their Super Bowl–winning defenses in the 1980s.
  • 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: Frank Butz
Triple: [Butz, hasNotableBearer, Frank Butz]
Generated description
Frank Butz is a relatively obscure individual known primarily for sharing the surname "Butz" rather than for widely recognized public achievements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank Butz
Target entity description: Frank Butz is a relatively obscure individual known primarily for sharing the surname "Butz" rather than for widely recognized public achievements.
  • A. Arthur Butz
    Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
  • B. Ron Vawter
    Ron Vawter was an American actor best known for his work with the experimental theater company The Wooster Group and for his intense, boundary-pushing stage and film performances.
  • C. Peter Butz
    Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Steve Butz
    Steve Butz is a notable individual recognized for achievements that have brought distinction to the surname Butz.
  • E. Dave Butz
    Dave Butz was a dominant American football defensive tackle best known for his long NFL career with the Washington Redskins, where he became a key part of their Super Bowl–winning defenses in the 1980s.
  • 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_69d2cb6276ec8190ad8623129f804c91 completed April 5, 2026, 8:51 p.m.
NEDg Description generation batch_69d2cd242ed8819097895cb15cbb5d47 completed April 5, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_69d2d1204f008190a9349c071c1e8d19 completed April 5, 2026, 9:16 p.m.
Created at: March 30, 2026, 8:45 p.m.