Triple
T14379015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjertrud Schnackenberg |
E356551
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gjertrud Schnackenberg |
E356551
|
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: Gjertrud Schnackenberg | Statement: [Gjertrud Schnackenberg, name, Gjertrud Schnackenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gjertrud Schnackenberg Context triple: [Gjertrud Schnackenberg, name, Gjertrud Schnackenberg]
-
A.
Gjertrud Schnackenberg
chosen
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
B.
Gertrud Strube
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
-
C.
Herta-Maria Bohnen
Herta-Maria Bohnen is the daughter of American actor Roman Bohnen.
-
D.
Margarete Gebhardt
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
-
E.
Gertrud Heinrici
Gertrud Heinrici was the wife of German Wehrmacht Colonel General Gotthard Heinrici and a member of the German aristocracy during the first half of the 20th century.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda907abf88190b86ce65390d9ca40 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:16 a.m.