Triple
T8776476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulo Goude |
E208595
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goude |
E756366
|
NE FINISHED |
How this triple was built (2 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: Goude | Statement: [Paulo Goude, familyName, Goude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goude Context triple: [Paulo Goude, familyName, Goude]
-
A.
Goude
chosen
Goude is a French surname most notably associated with Jean-Paul Goude, the influential graphic designer, illustrator, and photographer known for his iconic advertising and fashion imagery.
-
B.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Bredius
Bredius is a Dutch surname most notably associated with Abraham Bredius, a prominent art historian and expert on Dutch Golden Age painting.
-
D.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
-
E.
Dongen
Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f5086088190b317cf2aac7bee83 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f33ca1081908d65d14c83199c5a |
completed | April 3, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:42 p.m.