Triple
T14853665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blow |
E349295
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Franka Potente |
E212902
|
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: Franka Potente | Statement: [Blow, starring, Franka Potente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franka Potente Context triple: [Blow, starring, Franka Potente]
-
A.
Franka Potente
chosen
Franka Potente is a German actress best known internationally for her breakout role in "Run Lola Run" and her appearances in the Bourne film series.
-
B.
Luna Schweiger
Luna Schweiger is a German actress and model known for appearing in several films directed by her father, Til Schweiger, including "Keinohrhasen" and its sequels.
-
C.
Annette Kurschus
Annette Kurschus is a German Protestant theologian and bishop who has served as a leading figure in the Evangelical Church in Germany.
-
D.
Diane Kruger
Diane Kruger is a German-born actress and former fashion model best known for her roles in films such as "Troy," "Inglourious Basterds," and "National Treasure."
-
E.
Antje Traue
Antje Traue is a German actress best known internationally for her role as the Kryptonian warrior Faora-Ul in the superhero film "Man of Steel."
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4ce76881909bf4a967da9357ae |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.