Triple
T19736112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor E. Viking |
E473986
|
entity |
| Predicate | theme |
P261
|
FINISHED |
| Object | Viking |
—
|
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: Viking | Statement: [Victor E. Viking, theme, Viking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viking Context triple: [Victor E. Viking, theme, Viking]
-
A.
Viking
chosen
Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
-
B.
Viking
"Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
-
C.
Viking
Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
-
D.
Viking
The Viking is a Norse seafaring warrior figure commonly used as a symbol of strength and bravery, including as a school mascot.
-
E.
Viking
Viking is a Norwegian professional football club based in Stavanger, known for competing in the country’s top division and having a rich domestic history.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.