Triple
T20485263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norbert Leo Butz |
E502573
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Norbert Leo Butz |
—
|
NE NERFINISHED |
How this triple was built (2 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: Norbert Leo Butz | Statement: [Norbert Leo Butz, fullName, Norbert Leo Butz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norbert Leo Butz Context triple: [Norbert Leo Butz, fullName, Norbert Leo Butz]
-
A.
Norbert Leo Butz
chosen
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.
-
B.
Paul Butz
Paul Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
-
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.
Arthur Butz
Arthur Butz is an American electrical engineering professor best known for his controversial Holocaust denial writings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5aac208190956c7fd935578d60 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.