Triple
T20390665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Bloodgood |
E498074
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Eight Below |
—
|
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: Eight Below | Statement: [Moon Bloodgood, notableWork, Eight Below]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eight Below Context triple: [Moon Bloodgood, notableWork, Eight Below]
-
A.
Eight Below
chosen
Eight Below is a 2006 adventure drama film about a group of sled dogs stranded in Antarctica and the efforts to rescue them.
-
B.
Snowbound
"Snowbound" is a celebrated winter landscape painting by American Tonalist artist Birge Harrison, known for its atmospheric depiction of snow and subtle light.
-
C.
Ice Land
Ice Land is a frigid, snow- and ice-themed world in Super Mario Bros. 3 known for its slippery terrain and cold-weather enemies.
-
D.
Whiteout
Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
-
E.
Due South
Due South is a Canadian comedy-drama television series that follows a principled Mountie who teams up with a Chicago detective to solve crimes.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.