Triple
T4499184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariberto |
E100775
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Aribert |
E14792
|
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: Aribert | Statement: [Ariberto, variantOf, Aribert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aribert Context triple: [Ariberto, variantOf, Aribert]
-
A.
Aribert
chosen
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
-
B.
Berthold
Berthold is the family name of American comedian and actress Kate McKinnon, known for her work on Saturday Night Live.
-
C.
Matthias Zumtaugwald
Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
-
D.
Irmfried
Irmfried is a masculine German given name most notably borne by Irmfried Eberl, an Austrian physician and Nazi SS officer who served as a commandant of extermination camps during World War II.
-
E.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c29868819097633c7cd398e865 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f89114081908adbd8e78d4c8ec4 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.