Triple
T4317573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Jambon |
E96429
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jambon
Jambon is a surname most notably associated with Belgian politician Jan Jambon.
|
E430489
|
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: Jambon | Statement: [Jan Jambon, familyName, Jambon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jambon Context triple: [Jan Jambon, familyName, Jambon]
-
A.
Boudin
Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
-
B.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
C.
Black Forest ham
Black Forest ham is a traditional German dry-cured, smoked ham from the Black Forest region, prized for its dark exterior, distinctive smoky flavor, and protected regional designation.
-
D.
Bayonne ham
Bayonne ham is a traditional dry-cured French ham renowned for its delicate flavor and centuries-old artisanal production methods.
-
E.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
- 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: Jambon Triple: [Jan Jambon, familyName, Jambon]
Generated description
Jambon is a surname most notably associated with Belgian politician Jan Jambon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jambon Target entity description: Jambon is a surname most notably associated with Belgian politician Jan Jambon.
-
A.
Boudin
Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
-
B.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
C.
Black Forest ham
Black Forest ham is a traditional German dry-cured, smoked ham from the Black Forest region, prized for its dark exterior, distinctive smoky flavor, and protected regional designation.
-
D.
Bayonne ham
Bayonne ham is a traditional dry-cured French ham renowned for its delicate flavor and centuries-old artisanal production methods.
-
E.
Bacon
Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f733888190866611fcdea97a5f |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d085f78481909bb6dd55bf06d9d6 |
completed | March 14, 2026, 9:17 p.m. |
| NEDg | Description generation | batch_69b5d0f6d1d48190a3ecd1765043ac58 |
completed | March 14, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d18381288190948a7a0c42dc8cbf |
completed | March 14, 2026, 9:22 p.m. |
Created at: March 12, 2026, 11:12 p.m.