Triple
T10380089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Kreutz |
E244614
|
entity |
| Predicate | settingOfKeyScenes |
P1957
|
FINISHED |
| Object | Zurich |
E13407
|
NE FINISHED |
How this triple was built (3 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: Zurich | Statement: [Marie Kreutz, settingOfKeyScenes, Zurich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zurich Context triple: [Marie Kreutz, settingOfKeyScenes, Zurich]
-
A.
Zurich
chosen
Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
-
B.
Stettlen
Stettlen is a municipality in the canton of Bern in Switzerland, situated just east of the city of Bern and functioning largely as a residential and commuter community.
-
C.
Berne
Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
-
D.
Geneva
Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
-
E.
Geneva
Geneva is a small city in northeastern Ohio situated along Lake Erie, known for its wineries, tourism, and location within the Rust Belt region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfKeyScenes Context triple: [Marie Kreutz, settingOfKeyScenes, Zurich]
-
A.
filmSceneType
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
B.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
D.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
E.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
- F. None of above.
Provenance (4 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6cbdd30819087c3d980ab68c44e |
completed | April 12, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:03 p.m.