Triple
T8737944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Christmas |
E207431
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Kaja Fehr
Kaja Fehr is an editor known for her work on the film "One Christmas."
|
E766814
|
NE FINISHED |
How this triple was built (4 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: Kaja Fehr | Statement: [One Christmas, editor, Kaja Fehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaja Fehr Context triple: [One Christmas, editor, Kaja Fehr]
-
A.
Johanna Pfaelzer
Johanna Pfaelzer is an American theatre producer and arts leader known for her work developing new plays and serving in top artistic leadership roles at major regional theatres.
-
B.
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.
-
C.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
D.
Franziska Matzelsberger
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
E.
Michaela Dorfmeister
Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kaja Fehr Triple: [One Christmas, editor, Kaja Fehr]
Generated description
Kaja Fehr is an editor known for her work on the film "One Christmas."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaja Fehr Target entity description: Kaja Fehr is an editor known for her work on the film "One Christmas."
-
A.
Johanna Pfaelzer
Johanna Pfaelzer is an American theatre producer and arts leader known for her work developing new plays and serving in top artistic leadership roles at major regional theatres.
-
B.
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.
-
C.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
-
D.
Franziska Matzelsberger
Franziska Matzelsberger was the second wife of Alois Hitler and the stepmother of Adolf Hitler.
-
E.
Michaela Dorfmeister
Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
- F. None of above. chosen
Provenance (5 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9fc625c8190bd8fc4e9e456e922 |
completed | April 3, 2026, 1 p.m. |
| NEDg | Description generation | batch_69cfbe6aef808190bee156e131cb386c |
completed | April 3, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbee79c0c8190a9492dde17385223 |
completed | April 3, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:38 p.m.