Triple
T8163669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinfeldt Cabinet II |
E190635
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Beatrice Ask
Beatrice Ask is a Swedish Moderate Party politician who served as Minister for Justice in Fredrik Reinfeldt’s centre-right government.
|
E715814
|
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: Beatrice Ask | Statement: [Reinfeldt Cabinet II, hasMember, Beatrice Ask]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatrice Ask Context triple: [Reinfeldt Cabinet II, hasMember, Beatrice Ask]
-
A.
Beatrice Hennessy
Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
-
B.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
-
C.
Beatrice Durham
Beatrice Durham was the wife of pioneering British geneticist William Bateson and a supportive figure in his personal and scientific life.
-
D.
Beatrice Taylor
Beatrice Taylor is the beloved, nurturing aunt character from "The Andy Griffith Show," best known for her role as Aunt Bee in the fictional town of Mayberry.
-
E.
Beatrice Pearson
Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
- 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: Beatrice Ask Triple: [Reinfeldt Cabinet II, hasMember, Beatrice Ask]
Generated description
Beatrice Ask is a Swedish Moderate Party politician who served as Minister for Justice in Fredrik Reinfeldt’s centre-right government.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beatrice Ask Target entity description: Beatrice Ask is a Swedish Moderate Party politician who served as Minister for Justice in Fredrik Reinfeldt’s centre-right government.
-
A.
Beatrice Hennessy
Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
-
B.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
-
C.
Beatrice Durham
Beatrice Durham was the wife of pioneering British geneticist William Bateson and a supportive figure in his personal and scientific life.
-
D.
Beatrice Taylor
Beatrice Taylor is the beloved, nurturing aunt character from "The Andy Griffith Show," best known for her role as Aunt Bee in the fictional town of Mayberry.
-
E.
Beatrice Pearson
Beatrice Pearson was an American film actress best known for her leading role in the 1948 film noir "Force of Evil."
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4557ebc88190b4e2cab258374d23 |
completed | March 31, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf35000c8190ba78f69b7b1290e8 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc311d4e8819080f4aeef8ee7dc3b |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd83115fc8190a3e276bed0a00926 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:38 p.m.