Triple
T9315284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisela of Bavaria |
E224102
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gisela |
E260312
|
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: Gisela | Statement: [Gisela of Bavaria, givenName, Gisela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gisela Context triple: [Gisela of Bavaria, givenName, Gisela]
-
A.
Gisela
chosen
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
B.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
C.
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.
-
D.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3aa178881909e773e11c3892381 |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:37 p.m.