Triple
T7623257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armgard |
E172552
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Armgart |
E172552
|
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: Armgart | Statement: [Armgard, hasVariant, Armgart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armgart Context triple: [Armgard, hasVariant, Armgart]
-
A.
Armgard
chosen
Armgard is a feminine given name of German origin, historically borne by European nobility such as Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
-
B.
Ottla
Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
-
C.
Zora Dirnbach
Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
-
D.
Heike Makatsch
Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
-
E.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa65309c8190b95b894c051b003d |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870a00f8c8190935ee9b3054ada90 |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:56 p.m.