Triple
T16219532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annemarie Schmidt |
E393684
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Annemarie Schmidt |
E393684
|
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: Annemarie Schmidt | Statement: [Annemarie Schmidt, name, Annemarie Schmidt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annemarie Schmidt Context triple: [Annemarie Schmidt, name, Annemarie Schmidt]
-
A.
Annemarie Schmidt
chosen
Annemarie Schmidt is a person notable enough to be specifically cited as a bearer of the surname Schmidt.
-
B.
Christiane Schmidtmer
Christiane Schmidtmer was a German actress and model best known for her roles in 1960s–70s exploitation and cult films.
-
C.
Annemarie Dyckhoff
Annemarie Dyckhoff is best known as the wife of Scottish science fiction author Iain M. Banks.
-
D.
Heike Drechsler
Heike Drechsler is a German former track and field athlete best known as one of history’s greatest long jumpers, winning multiple Olympic and World Championship titles.
-
E.
Juliane Blasi
Juliane Blasi is an automotive designer best known for her work on BMW’s second-generation Z4 (E89) roadster.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fabf708190a624c1ed8ce48b0a |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007987cd881908ebc01141028c0a5 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.