Triple
T9949282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butz |
E195286
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Butz
Michael Butz is a person notable enough to be specifically cited as a bearer of the surname Butz.
|
E833187
|
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: Michael Butz | Statement: [Butz, hasNotableBearer, Michael Butz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Butz Context triple: [Butz, hasNotableBearer, Michael Butz]
-
A.
Tom Hutter
Tom Hutter is a rough, opportunistic frontiersman and river-dweller in James Fenimore Cooper’s novel "The Deerslayer," known for his morally ambiguous schemes and life on a floating fortress.
-
B.
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.
-
C.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
D.
Michael Pfaff
Michael Pfaff is a sports executive best known for leading the independent baseball team Long Island Ducks as its president.
-
E.
Thomas Buberl
Thomas Buberl is a German business executive known for leading the global insurance company AXA and driving its strategic transformation.
- 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: Michael Butz Triple: [Butz, hasNotableBearer, Michael Butz]
Generated description
Michael Butz is a person notable enough to be specifically cited as a bearer of the surname Butz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Butz Target entity description: Michael Butz is a person notable enough to be specifically cited as a bearer of the surname Butz.
-
A.
Tom Hutter
Tom Hutter is a rough, opportunistic frontiersman and river-dweller in James Fenimore Cooper’s novel "The Deerslayer," known for his morally ambiguous schemes and life on a floating fortress.
-
B.
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.
-
C.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
D.
Michael Pfaff
Michael Pfaff is a sports executive best known for leading the independent baseball team Long Island Ducks as its president.
-
E.
Thomas Buberl
Thomas Buberl is a German business executive known for leading the global insurance company AXA and driving its strategic transformation.
- 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_69d257a164308190b88432b914ea7f1a |
completed | April 5, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69d25924eb2481909dbf135c387051e3 |
completed | April 5, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d259b292c88190818f512f90a641f3 |
completed | April 5, 2026, 12:46 p.m. |
Created at: March 30, 2026, 8:45 p.m.