Triple
T5843382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geert Bourgeois |
E129646
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Betty Hoste
Betty Hoste is known as the wife of Belgian politician and former Flemish Minister-President Geert Bourgeois.
|
E549894
|
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: Betty Hoste | Statement: [Geert Bourgeois, spouse, Betty Hoste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Hoste Context triple: [Geert Bourgeois, spouse, Betty Hoste]
-
A.
Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
-
B.
Betty Lawford
Betty Lawford was a British-born film actress of the early 20th century who appeared in Hollywood productions during the 1930s.
-
C.
Margaret Biggins
Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
-
D.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
E.
Betty Garde
Betty Garde was an American stage, film, and radio actress known for her versatile character roles in mid-20th-century theater and entertainment.
- 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: Betty Hoste Triple: [Geert Bourgeois, spouse, Betty Hoste]
Generated description
Betty Hoste is known as the wife of Belgian politician and former Flemish Minister-President Geert Bourgeois.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Hoste Target entity description: Betty Hoste is known as the wife of Belgian politician and former Flemish Minister-President Geert Bourgeois.
-
A.
Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
-
B.
Betty Lawford
Betty Lawford was a British-born film actress of the early 20th century who appeared in Hollywood productions during the 1930s.
-
C.
Margaret Biggins
Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
-
D.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
E.
Betty Garde
Betty Garde was an American stage, film, and radio actress known for her versatile character roles in mid-20th-century theater and entertainment.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d9da0c8190970319d0dc2fc73f |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a6587c8190b76b1005178c29a9 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a2bd6cdc819096c6829dc8d5d61e |
completed | March 23, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a323d9248190aa803c27be3d5eec |
completed | March 23, 2026, 2:19 a.m. |
Created at: March 22, 2026, 3:54 p.m.