Triple
T19186952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | serum run to Nome |
E469724
|
entity |
| Predicate | notableAnimal |
P965
|
FINISHED |
| Object | Balto |
—
|
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: Balto | Statement: [serum run to Nome, notableAnimal, Balto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balto Context triple: [serum run to Nome, notableAnimal, Balto]
-
A.
Balto
chosen
Balto is the famous sled dog who led his team on the final leg of the 1925 serum run to Nome, Alaska, becoming a symbol of bravery and endurance.
-
B.
Misha the Bear
Misha the Bear is the cheerful bear mascot created for the 1980 Moscow Summer Olympics, widely remembered for its role in the Games’ ceremonies and merchandise.
-
C.
Bruin the Bear
Bruin the Bear is a strong but often gullible bear character from the medieval European Reynard the Fox tales, serving as one of Reynard’s frequent foils.
-
D.
Brisky the Bear
Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
-
E.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f620f1f08190a0daaf0d1483d724 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.