Triple
T22020191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shueisha |
E543823
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object | Young Jump |
—
|
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: Young Jump | Statement: [Shueisha, publishes, Young Jump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Jump Context triple: [Shueisha, publishes, Young Jump]
-
A.
Jump!
Jump! is a 1984 concept album by American composer Van Dyke Parks that blends orchestral pop and storytelling, inspired by the tales of Uncle Remus.
-
B.
The Jump
"The Jump" is a song by the British electronic music duo The Voice.
-
C.
The Jump
The Jump is an ESPN basketball-focused talk show that features analysis, interviews, and discussion of NBA news and storylines.
-
D.
Jump and Other Stories
"Jump and Other Stories" is a collection of short stories by South African writer and Nobel laureate Nadine Gordimer that explores themes of apartheid, political upheaval, and personal relationships.
-
E.
Young Jump Comics
chosen
Young Jump Comics is a manga imprint of Shueisha known for publishing series serialized in the seinen magazine Weekly Young Jump and related publications.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c6b5fc8190bc49ddb058f28a44 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.