Triple
T17445409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Diskin |
E424768
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Digimon Fusion |
—
|
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: Digimon Fusion | Statement: [Ben Diskin, notableWork, Digimon Fusion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digimon Fusion Context triple: [Ben Diskin, notableWork, Digimon Fusion]
-
A.
Digimon
chosen
Digimon is a Japanese media franchise centered on digital monsters that spans anime, video games, toys, and other merchandise.
-
B.
Augmon
Augmon is the surname of former American professional basketball player Stacey Augmon, known for his defensive prowess in the NBA.
-
C.
Bakugan Dragonoid
Bakugan Dragonoid is a Monster Jam monster truck themed after the Bakugan franchise’s dragon-like Dragonoid character, known for its striking design and high-flying freestyle performances.
-
D.
Doryumu
Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
-
E.
Dangan Ressha
Dangan Ressha is the Japanese nickname meaning "Bullet Train," famously used for the pioneering 0 Series Shinkansen high-speed trains.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffafec48190b25980318cea353f |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.