Triple
T18117577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagmar Pecková |
E433647
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dagmar |
—
|
NE NERFINISHED |
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: Dagmar | Statement: [Dagmar Pecková, givenName, Dagmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagmar Context triple: [Dagmar Pecková, givenName, Dagmar]
-
A.
Dagmar
chosen
Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
-
B.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
-
C.
Florence Dagmar
Florence Dagmar was an early 20th-century American silent film actress known for her roles in dramas of the 1910s.
-
D.
Helena of Mecklenburg-Schwerin
Helena of Mecklenburg-Schwerin was a 19th-century German duchess and princess from the ducal House of Mecklenburg-Schwerin who became a member of the French imperial family through her marriage to Prince Antoine of Orléans, Duke of Montpensier.
-
E.
Ulrike
Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd737708190863fba97cdc20d88 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.