Triple
T21162235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Blum |
E521469
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Digimon |
—
|
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 | Statement: [Steve Blum, notableWork, Digimon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digimon Context triple: [Steve Blum, notableWork, Digimon]
-
A.
Digimon
chosen
Digimon is a Japanese media franchise centered on digital monsters that spans anime, video games, toys, and other merchandise.
-
B.
Digimon Adventure tri.
Digimon Adventure tri. is a six-part Japanese animated film series that continues the story of the original Digimon Adventure characters as they reunite with their Digimon partners to face new digital and real-world threats.
-
C.
Augmon
Augmon is the surname of former American professional basketball player Stacey Augmon, known for his defensive prowess in the NBA.
-
D.
Doraemon
Doraemon is a popular Japanese manga and anime character, a robotic cat from the future who helps a young boy using futuristic gadgets from his four-dimensional pocket.
-
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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72532e9348190ad37fe858843d0f5 |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.