Triple
T21003677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpion |
E517357
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Anton Schwarzkopf |
—
|
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: Anton Schwarzkopf | Statement: [Scorpion, designer, Anton Schwarzkopf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anton Schwarzkopf Context triple: [Scorpion, designer, Anton Schwarzkopf]
-
A.
Anton Schwarzkopf
chosen
Anton Schwarzkopf was a renowned German engineer and manufacturer best known for designing and building innovative and influential roller coasters around the world.
-
B.
Hansi Schwarz
Hansi Schwarz was a Swedish folk singer best known as a member of the popular 1960s vocal group the Hootenanny Singers.
-
C.
Anton Bruehl
Anton Bruehl was an influential 20th-century American photographer known for his innovative commercial and fashion photography, particularly for magazines such as Vogue.
-
D.
Heinz Conrads
Heinz Conrads was an Austrian actor, radio and television presenter, and entertainer, best known for his popular postwar Viennese radio and TV shows.
-
E.
Benno Elbs
Benno Elbs is an Austrian Roman Catholic prelate who serves as the bishop of the Diocese of Feldkirch.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3978b0819082b63a98962a673e |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.