Triple
T7426118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dietrich Mateschitz |
E171372
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mateschitz |
E171372
|
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: Mateschitz | Statement: [Dietrich Mateschitz, familyName, Mateschitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mateschitz Context triple: [Dietrich Mateschitz, familyName, Mateschitz]
-
A.
Dietrich Mateschitz
chosen
Dietrich Mateschitz was an Austrian businessman and billionaire best known as the co-founder of the energy drink company Red Bull and the driving force behind its global marketing and sports empire.
-
B.
Jesko von Puttkamer
Jesko von Puttkamer was a German colonial official best known for his governorship of the colony of Kamerun during the late 19th and early 20th centuries.
-
C.
Pölzl
Pölzl is the maiden surname of Klara Hitler, the mother of Adolf Hitler.
-
D.
Ferdinand Steiner
Ferdinand Steiner was the father of renowned British actor Leslie Howard, known for his work in early 20th-century theatre and film.
-
E.
Franz Xaver Bogner
Franz Xaver Bogner is a German television director and screenwriter known for his popular Bavarian-themed series and comedies.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f303eb988190ba9df7946fce1c86 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277f749c8190a91f620c71c48433 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.