Triple
T17919783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen Burke |
E448034
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Josef Berne
Josef Berne was a Russian-born American film director and producer known for his work on short subjects and low-budget features in the mid-20th century.
|
E1467437
|
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: Josef Berne | Statement: [Kathleen Burke, spouse, Josef Berne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josef Berne Context triple: [Kathleen Burke, spouse, Josef Berne]
-
A.
Josef Bromberger
Josef Bromberger, better known professionally as J. Edward Bromberg, was a Hungarian-American character actor active in mid-20th-century stage and film.
-
B.
Josef Bauer
Josef Bauer is an Austrian local politician who serves as the mayor of the market town of Persenbeug-Gottsdorf in Lower Austria.
-
C.
Josef Rieder
Josef Rieder was an Austrian alpine skier best known for lighting the Olympic cauldron at the 1964 Winter Olympics in Innsbruck.
-
D.
Emil Berna
Emil Berna was a Swiss cinematographer known for his influential work on mid-20th-century European films.
-
E.
Josef Bühler
Josef Bühler was a high-ranking Nazi official and lawyer who served as State Secretary in the General Government of occupied Poland and played a key role in implementing the Holocaust.
- 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: Josef Berne Triple: [Kathleen Burke, spouse, Josef Berne]
Generated description
Josef Berne was a Russian-born American film director and producer known for his work on short subjects and low-budget features in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josef Berne Target entity description: Josef Berne was a Russian-born American film director and producer known for his work on short subjects and low-budget features in the mid-20th century.
-
A.
Josef Bromberger
Josef Bromberger, better known professionally as J. Edward Bromberg, was a Hungarian-American character actor active in mid-20th-century stage and film.
-
B.
Josef Bauer
Josef Bauer is an Austrian local politician who serves as the mayor of the market town of Persenbeug-Gottsdorf in Lower Austria.
-
C.
Josef Rieder
Josef Rieder was an Austrian alpine skier best known for lighting the Olympic cauldron at the 1964 Winter Olympics in Innsbruck.
-
D.
Emil Berna
Emil Berna was a Swiss cinematographer known for his influential work on mid-20th-century European films.
-
E.
Josef Bühler
Josef Bühler was a high-ranking Nazi official and lawyer who served as State Secretary in the General Government of occupied Poland and played a key role in implementing the Holocaust.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a309532881908633bd723923880f |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965c74be4819092c3bdbc2ac36aff |
completed | May 17, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_6a0966a973c88190a80dea4cac560614 |
completed | May 17, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09671c01a08190a9034fdb91119c3f |
completed | May 17, 2026, 6:58 a.m. |
Created at: April 10, 2026, 10:20 a.m.