Triple
T16168619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Ehlers |
E392373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ehlers |
E424702
|
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: Ehlers | Statement: [Beth Ehlers, familyName, Ehlers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ehlers Context triple: [Beth Ehlers, familyName, Ehlers]
-
A.
Ehlers
chosen
Ehlers is a German surname, likely of North German or Danish origin, that shares an etymological root with the name Ehle.
-
B.
Elers
Elers is a surname of likely European origin associated with individuals such as Anna Maria Elers.
-
C.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
D.
Hurler
Hurler is a wooden roller coaster at the Carowinds amusement park known for its high-speed, rough-and-tumble ride experience.
-
E.
Andermann
Andermann is a German-language surname borne by individuals such as Hermine Andermann.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb4ea9c81908806f9771ae80148 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bb6aac8190a33607abfe9a32d0 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.