Triple
T5045835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentine |
E113659
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Valentijn |
E210690
|
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: Valentijn | Statement: [Valentine, hasVariant, Valentijn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentijn Context triple: [Valentine, hasVariant, Valentijn]
-
A.
Valentin
chosen
Valentin is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
B.
Gautreau
Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
-
C.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
D.
Maarten
Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
-
E.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fe99688190961708f5d8eb6bff |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c8e1fc481908faf1042ee7f49e9 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.