Triple
T9949304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butz |
E195286
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Martin Butz
Martin Butz is a researcher known for his work in cognitive science, machine learning, and evolutionary computation, particularly in the development of learning classifier systems.
|
E848060
|
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: Martin Butz | Statement: [Butz, hasNotableBearer, Martin Butz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Butz Context triple: [Butz, hasNotableBearer, Martin Butz]
-
A.
Martin Butzer
Martin Butzer is the birth name of Martin Bucer, a prominent 16th-century Protestant Reformer known for his efforts to mediate between differing branches of the Reformation.
-
B.
Robert Butz
Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
-
C.
Arthur Butz
Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
-
D.
Michael Butz
Michael Butz is a person notable enough to be specifically cited as a bearer of the surname Butz.
-
E.
Richard Butz
Richard Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
- 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: Martin Butz Triple: [Butz, hasNotableBearer, Martin Butz]
Generated description
Martin Butz is a researcher known for his work in cognitive science, machine learning, and evolutionary computation, particularly in the development of learning classifier systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Butz Target entity description: Martin Butz is a researcher known for his work in cognitive science, machine learning, and evolutionary computation, particularly in the development of learning classifier systems.
-
A.
Martin Butzer
Martin Butzer is the birth name of Martin Bucer, a prominent 16th-century Protestant Reformer known for his efforts to mediate between differing branches of the Reformation.
-
B.
Robert Butz
Robert Butz is an individual notable enough to be specifically recorded as a bearer of the surname Butz.
-
C.
Arthur Butz
Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
-
D.
Michael Butz
Michael Butz is a person notable enough to be specifically cited as a bearer of the surname Butz.
-
E.
Richard Butz
Richard Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
- 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_69d32a6ee36881909aabd35a77e62918 |
completed | April 6, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69d32e7aee048190afb914e6f1818ac5 |
completed | April 6, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d32ee281e88190a04282a0b2ce877b |
completed | April 6, 2026, 3:56 a.m. |
Created at: March 30, 2026, 8:45 p.m.