Triple
T14411920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flash (2023 film) |
E357349
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Antje Traue |
E467329
|
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: Antje Traue | Statement: [The Flash (2023 film), starring, Antje Traue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antje Traue Context triple: [The Flash (2023 film), starring, Antje Traue]
-
A.
Antje Traue
chosen
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."
-
B.
Hannelore Renner
Hannelore Renner is the birth name of German actress Klara Kohl.
-
C.
Regina Fischer
Regina Fischer is the mother of chess prodigy Bobby Fischer, portrayed as a complex and influential figure in his life in the film "Pawn Sacrifice."
-
D.
Hannelore Menzel
Hannelore Menzel is a German actress known for her work in mid-20th-century film and theater.
-
E.
Franka Potente
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.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc79c088190b6fd2984515976d7 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:17 a.m.