Triple
T20576022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luisa Neubauer |
E505219
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Neubauer |
—
|
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: Neubauer | Statement: [Luisa Neubauer, familyName, Neubauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neubauer Context triple: [Luisa Neubauer, familyName, Neubauer]
-
A.
Neubauer
chosen
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
B.
Eisenhauer
Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
-
C.
Neumeier
Neumeier is a surname most notably associated with American screenwriter and producer Edward Neumeier, known for works such as "RoboCop" and "Starship Troopers."
-
D.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
E.
Freiberger
Freiberger is a versatile Swiss horse breed from the Jura region, valued for its calm temperament and use in riding, driving, and light draft work.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90af3608190955d2c7950726178 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.