Triple
T5045831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentine |
E113659
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Valentin |
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: Valentin | Statement: [Valentine, hasVariant, Valentin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentin Context triple: [Valentine, hasVariant, Valentin]
-
A.
Valentin
chosen
Valentin is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
-
B.
Faustulus
Faustulus is the shepherd in Roman mythology who discovers the abandoned twins Romulus and Remus and secretly raises them.
-
C.
Valeriano
Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
-
D.
Valentinovich
Valentinovich is a Russian patronymic derived from the male given name Valentin, indicating "son of Valentin."
-
E.
Laevinus Torrentius
Laevinus Torrentius was a 16th-century Flemish humanist, Latin poet, and Catholic bishop known for his scholarly commentaries on classical authors and his role in the Counter-Reformation.
- 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.