Triple
T12325528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoma Bravo |
E293819
|
entity |
| Predicate | notableExecutive |
P1918
|
FINISHED |
| Object | Carl Thoma |
E979666
|
NE FINISHED |
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: Carl Thoma | Statement: [Thoma Bravo, notableExecutive, Carl Thoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Thoma Context triple: [Thoma Bravo, notableExecutive, Carl Thoma]
-
A.
Carl Thoma
chosen
Carl Thoma is an American private equity investor best known as a pioneering figure in software and technology buyouts and a co-founder of the investment firm Thoma Bravo.
-
B.
Carlos Holzwarth
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
-
C.
Gustav Kleikamp
Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
-
D.
Carl Petersen
Carl Petersen was a prominent Danish architect associated with the Nordic Classicism movement, known for blending classical forms with modern sensibilities in early 20th-century Scandinavian architecture.
-
E.
Carl Graebe
Carl Graebe was a German organic chemist best known for co-discovering the synthesis of the dye alizarin, which helped launch the synthetic dye industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555e525c8190aa72da362fae1e3e |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:53 p.m.