Triple
T19536460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentyne |
E488778
|
entity |
| Predicate | etymologicallyRelatedTo |
P5801
|
FINISHED |
| Object | Valentine |
—
|
NE NERFINISHED |
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: Valentine | Statement: [Valentyne, etymologicallyRelatedTo, Valentine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentine Context triple: [Valentyne, etymologicallyRelatedTo, Valentine]
-
A.
Valentine
chosen
Valentine is a masculine given name of Latin origin commonly associated with the meaning "strong" or "healthy" and historically linked to Saint Valentine.
-
B.
Valentine
"Valentine" is a romantic novel by French writer George Sand that explores themes of love, class, and social convention in 19th-century rural France.
-
C.
Valentine
Valentine is a small rural locality within Queensland’s Banana Shire in Australia.
-
D.
Valentine
"Valentine" is a song featured on the album "Walking in London" by the American rock band Concrete Blonde.
-
E.
Valentine
Valentine is a lakeside residential suburb in the Lake Macquarie region of New South Wales, Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.