Triple
T17907027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aku |
E447728
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Samurai Jack |
—
|
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: Samurai Jack | Statement: [Aku, appearsIn, Samurai Jack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samurai Jack Context triple: [Aku, appearsIn, Samurai Jack]
-
A.
Samurai Jack
chosen
Samurai Jack is an acclaimed animated action-adventure television series created by Genndy Tartakovsky, following a time-displaced samurai’s quest to defeat the evil demon Aku.
-
B.
Jack-Jack Attack
Jack-Jack Attack is a short animated film from Pixar that focuses on the chaotic babysitting adventures of the Parr family's infant, Jack-Jack, as his superpowers begin to emerge.
-
C.
Scarlet Ninjini
Scarlet Ninjini is a red-colored variant of the magical genie Giant character Ninjini from the Skylanders video game series.
-
D.
Ninja
Ninja is a popular line of high-performance sport motorcycles produced by Kawasaki, known for their aggressive styling and strong racing heritage.
-
E.
Ninja
Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9d458881909e35e1c7a6e85436 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.