Triple
T19016163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerd Arntz |
E465354
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arntz |
—
|
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: Arntz | Statement: [Gerd Arntz, familyName, Arntz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arntz Context triple: [Gerd Arntz, familyName, Arntz]
-
A.
Arntz
chosen
Arntz is a German surname most notably associated with Gerd Arntz, a 20th-century graphic designer and artist known for his influential pictogram and isotype work.
-
B.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
C.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
-
D.
Ardan
Ardan is a fictional character portrayed by Northern Irish actor Colin Morgan, known for his work in film, television, and theatre.
-
E.
Eisenhauer
Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6db04fc819094709f223e30a526 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.