Triple
T17910317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasper |
E447802
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object | Blue Diamond |
—
|
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: Blue Diamond | Statement: [Jasper, loyalTo, Blue Diamond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Diamond Context triple: [Jasper, loyalTo, Blue Diamond]
-
A.
Blue Diamond
Blue Diamond is the nickname of the U.S. 1st Marine Division, a storied Marine Corps infantry division renowned for its combat history and distinctive diamond-shaped insignia.
-
B.
Blue Diamond
Blue Diamond is a Marvel Comics superhero and member of the World War II–era Liberty Legion, known for his diamond-hard, superhumanly durable body.
-
C.
Blue Diamond
chosen
Blue Diamond is one of the ruling Diamond Authority members in the Steven Universe franchise, known for her immense power, regal demeanor, and deep emotional sensitivity.
-
D.
Driscoll’s Diamonds
Driscoll’s Diamonds is a crime novel by American author Marvin H. Albert, known for its hardboiled style and fast-paced, suspenseful plotting.
-
E.
Dymond
Dymond is a former township in Ontario, Canada, that was amalgamated into the city of Temiskaming Shores.
- 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_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.