Triple
T22090905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great White Hype |
E545908
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Kaja Fehr
Kaja Fehr is a film editor known for her work on the boxing comedy film "The Great White Hype."
|
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: [The Great White Hype, editedBy, Kaja Fehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaja Fehr Context triple: [The Great White Hype, editedBy, Kaja Fehr]
-
A.
Kaja Fehr
Kaja Fehr is an editor known for her work on the film "One Christmas."
-
B.
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.
-
C.
Juliane Köhler
Juliane Köhler is a German actress known for her acclaimed performances in film, television, and theater, including award-winning roles in internationally recognized German cinema.
-
D.
Tanja Spengler
Tanja Spengler is known as the former wife of German rock musician Peter Maffay.
-
E.
Heike Drechsler
Heike Drechsler is a German former track and field athlete best known as one of history’s greatest long jumpers, winning multiple Olympic and World Championship titles.
- 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: [The Great White Hype, editedBy, Kaja Fehr]
Generated description
Kaja Fehr is a film editor known for her work on the boxing comedy film "The Great White Hype."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaja Fehr Target entity description: Kaja Fehr is a film editor known for her work on the boxing comedy film "The Great White Hype."
-
A.
Kaja Fehr
chosen
Kaja Fehr is an editor known for her work on the film "One Christmas."
-
B.
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.
-
C.
Juliane Köhler
Juliane Köhler is a German actress known for her acclaimed performances in film, television, and theater, including award-winning roles in internationally recognized German cinema.
-
D.
Tanja Spengler
Tanja Spengler is known as the former wife of German rock musician Peter Maffay.
-
E.
Heike Drechsler
Heike Drechsler is a German former track and field athlete best known as one of history’s greatest long jumpers, winning multiple Olympic and World Championship titles.
- F. None of above.
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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f117f7c8190b34b3bd32eb0e97d |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a90ca49c48190b01c88ae7e841cb4 |
completed | May 18, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a915bd5748190afc5a5a6e9398564 |
completed | May 18, 2026, 4:11 a.m. |
Created at: April 16, 2026, 8:29 p.m.