Triple
T14805387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission: Impossible 2 |
E348020
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paula Wagner |
E312597
|
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: Paula Wagner | Statement: [Mission: Impossible 2, producer, Paula Wagner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Wagner Context triple: [Mission: Impossible 2, producer, Paula Wagner]
-
A.
Paula Wagner
chosen
Paula Wagner is an American film producer and former talent agent best known for her longtime collaboration with Tom Cruise and co-founding Cruise/Wagner Productions.
-
B.
Paula Wolff
Paula Wolff was the later-life alias of Paula Hitler, the younger sister of Adolf Hitler who lived a largely private and obscure life after World War II.
-
C.
Paula Winkler
Paula Winkler was a German-Jewish writer and intellectual who collaborated closely with her husband, the philosopher and theologian Martin Buber.
-
D.
Ann Wagner
Ann Wagner is the mother of American actress and businesswoman Priscilla Presley.
-
E.
Paula Wessely
Paula Wessely was a renowned Austrian stage and film actress of the 20th century, celebrated as one of the most prominent performers in German-language cinema and theatre.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c6b3008190a0fac1dace40361a |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:34 a.m.