Triple
T9949301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butz |
E195286
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Carl Butz
Carl 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 well documented.
|
E843935
|
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: Carl Butz | Statement: [Butz, hasNotableBearer, Carl Butz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Butz Context triple: [Butz, hasNotableBearer, Carl Butz]
-
A.
George Butz
George Butz is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Butz.
-
B.
Peter Butz
Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
-
C.
Robert Butz
Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
-
D.
Norbert Leo Butz
Norbert Leo Butz is a Tony Award–winning American stage actor and singer best known for his leading roles in major Broadway musicals such as Dirty Rotten Scoundrels and Catch Me If You Can.
-
E.
Arthur Butz
Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
- 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: Carl Butz Triple: [Butz, hasNotableBearer, Carl Butz]
Generated description
Carl 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 well documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Butz Target entity description: Carl 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 well documented.
-
A.
George Butz
George Butz is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Butz.
-
B.
Peter Butz
Peter Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
-
C.
Robert Butz
Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
-
D.
Norbert Leo Butz
Norbert Leo Butz is a Tony Award–winning American stage actor and singer best known for his leading roles in major Broadway musicals such as Dirty Rotten Scoundrels and Catch Me If You Can.
-
E.
Arthur Butz
Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
- 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_69d2e531dfa48190b57fcd2444de1ab7 |
completed | April 5, 2026, 10:41 p.m. |
| NEDg | Description generation | batch_69d2e6f0aa988190aa9a866afcc2a1a2 |
completed | April 5, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e78384f48190abb7bdd7fcadcd9a |
completed | April 5, 2026, 10:51 p.m. |
Created at: March 30, 2026, 8:45 p.m.