Triple
T827664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Flemish Alliance |
E17890
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Jan Jambon
Jan Jambon is a Belgian nationalist politician from Flanders who has served as Minister-President of Flanders and is a prominent leader within the New Flemish Alliance (N-VA).
|
E96429
|
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: Jan Jambon | Statement: [New Flemish Alliance, hasMember, Jan Jambon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Jambon Context triple: [New Flemish Alliance, hasMember, Jan Jambon]
-
A.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
B.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
-
C.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
-
D.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
E.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
- 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: Jan Jambon Triple: [New Flemish Alliance, hasMember, Jan Jambon]
Generated description
Jan Jambon is a Belgian nationalist politician from Flanders who has served as Minister-President of Flanders and is a prominent leader within the New Flemish Alliance (N-VA).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jan Jambon Target entity description: Jan Jambon is a Belgian nationalist politician from Flanders who has served as Minister-President of Flanders and is a prominent leader within the New Flemish Alliance (N-VA).
-
A.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
B.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
-
C.
Jacques
Jacques is the French form of the given name James, commonly used in French-speaking countries.
-
D.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
E.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab99b1e48190afad1f073348b29a |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
Created at: March 1, 2026, 7:38 p.m.