Triple
T2297883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heike Makatsch |
E51658
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Heike Makatsch |
E51658
|
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: Heike Makatsch | Statement: [Heike Makatsch, name, Heike Makatsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heike Makatsch Context triple: [Heike Makatsch, name, Heike Makatsch]
-
A.
Heike Makatsch
chosen
Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
-
B.
Alexandra Freifrau von Berlichingen
Alexandra Freifrau von Berlichingen is a German noblewoman best known as the wife of former German President Roman Herzog.
-
C.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
-
D.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
E.
Elizabeth von Karstedt
Elizabeth von Karstedt was a German aristocrat best known as the wife of Wehrmacht Commander-in-Chief Walther von Brauchitsch.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5df37808190ba6a43dc1e9e723a |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2ba4048190898e3524feb0d96d |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.