Triple
T22892362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleach |
E568072
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Big Cheese |
—
|
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: Big Cheese | Statement: [Bleach, hasPart, Big Cheese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Cheese Context triple: [Bleach, hasPart, Big Cheese]
-
A.
Big Cheese
chosen
Big Cheese is a character from the anime series "Bleach," known for its distinctive cheese-themed appearance and comedic presence.
-
B.
The Big Cheese
"The Big Cheese" is a track by the experimental rock band Uncommon Ritual, likely showcasing their distinctive, genre-blending musical style.
-
C.
Cheeze
Cheeze is a rapper affiliated with French Montana’s Coke Boys collective and its label, Coke Boys Records.
-
D.
Cheese Land
Cheese Land is a Mario Kart Wii race track themed around a desert landscape filled with cheese-like terrain and obstacles.
-
E.
Quattro Formaggi
Quattro Formaggi is an EP released by the band Dogstar, featuring a selection of their alternative rock tracks.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc66dbc81909b31c068d7f2c531 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.