Triple
T9751628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutschland 86 |
E236454
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Maria Schrader |
E765498
|
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: Maria Schrader | Statement: [Deutschland 86, stars, Maria Schrader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Schrader Context triple: [Deutschland 86, stars, Maria Schrader]
-
A.
Maria Schrader
chosen
Maria Schrader is a German actress, screenwriter, and director known internationally for works such as the series "Unorthodox" and the film "She Said."
-
B.
Marie Schrader
Marie Schrader is a character in the television series "Breaking Bad," known as Skyler White’s kleptomaniac, purple-obsessed sister who is married to DEA agent Hank Schrader.
-
C.
Judith Rossner
Judith Rossner was an American novelist best known for her 1975 bestseller "Looking for Mr. Goodbar," a dark exploration of single life and violence in urban America.
-
D.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
-
E.
Barbara Fuchs
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2699ec50481908d83d3d22e102fb2 |
completed | April 5, 2026, 1:54 p.m. |
Created at: March 30, 2026, 8:24 p.m.