Triple
T2361135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bärbel |
E47273
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Bärbl |
E47273
|
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: Bärbl | Statement: [Bärbel, hasRelatedName, Bärbl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bärbl Context triple: [Bärbel, hasRelatedName, Bärbl]
-
A.
Bärbel
chosen
Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
-
B.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
C.
Anna Bertha Ludwig
Anna Bertha Ludwig was the wife of physicist Wilhelm Röntgen, who supported him throughout his pioneering work on X-rays.
-
D.
Nena von Schlebrügge
Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
-
E.
Helga Maria Schmid
Helga Maria Schmid is a German diplomat who serves as Secretary General of the Organization for Security and Co-operation in Europe (OSCE), overseeing the organization’s work on security, conflict prevention, and cooperation across its member states.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc723c66481908a9b94991f651b3b |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf2eb7a88190b421df42acbd974b |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:55 p.m.