Triple
T14567254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Games U.S. |
E341815
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Monika Willi |
E744533
|
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: Monika Willi | Statement: [Funny Games U.S., editedBy, Monika Willi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monika Willi Context triple: [Funny Games U.S., editedBy, Monika Willi]
-
A.
Monika Willi
chosen
Monika Willi is an acclaimed Austrian film editor known for her work on numerous internationally recognized art-house and auteur films.
-
B.
Monika Thiel
Monika Thiel is a person notable enough to be recognized as a significant bearer of the surname Thiel.
-
C.
Monika Henreid
Monika Henreid is the daughter of classic Hollywood actor and director Paul Henreid, known for his roles in films such as "Casablanca" and "Now, Voyager."
-
D.
Monika Hohlmeier
Monika Hohlmeier is a German politician from the Christian Social Union (CSU) who has served as a Member of the European Parliament, known for her work on budgetary control and civil liberties.
-
E.
Monika Zinner
Monika Zinner is the daughter of Austrian-born American film editor Peter Zinner, known for his work on classic Hollywood films.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a2fc048190b68d3267fe17471b |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:23 a.m.