Triple
T12933360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermine Santruschitz |
E309439
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hermine |
E309439
|
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: Hermine | Statement: [Hermine Santruschitz, givenName, Hermine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermine Context triple: [Hermine Santruschitz, givenName, Hermine]
-
A.
Hermine
chosen
Hermine is the birth name of Miep Gies, the Dutch woman who helped hide Anne Frank and preserved her diary during World War II.
-
B.
Hermine
Hermine was a German princess of the House of Reuss who became the second wife of the former German Emperor Wilhelm II.
-
C.
Helietta
Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
-
D.
Hedwig
Hedwig is the birth name of Hedy Lamarr, the Austrian-born Hollywood actress and inventor known for pioneering frequency-hopping technology.
-
E.
Nigellus
Nigellus is a Latinized medieval given name that serves as the root form from which the modern English name Nigel developed.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc6517481908637781da240b51f |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6a830881908ab238b250d2c7d5 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:42 p.m.