Triple
T16499740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleach |
E400770
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Big Cheese
Big Cheese is a character from the anime series "Bleach," known for its distinctive cheese-themed appearance and comedic presence.
|
E1216786
|
NE FINISHED |
How this triple was built (4 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.
The Big Cheese
"The Big Cheese" is a track by the experimental rock band Uncommon Ritual, likely showcasing their distinctive, genre-blending musical style.
-
B.
Cheese Land
Cheese Land is a Mario Kart Wii race track themed around a desert landscape filled with cheese-like terrain and obstacles.
-
C.
Quattro Formaggi
Quattro Formaggi is an EP released by the band Dogstar, featuring a selection of their alternative rock tracks.
-
D.
Stack That Cheese
"Stack That Cheese" is a track by rapper Lupe Fiasco featured on his concept album "Drogas Wave."
-
E.
Mayor McCheese
Mayor McCheese is a McDonaldland character depicted as a cheeseburger-headed mayor who appears in McDonald's advertising alongside Ronald McDonald.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Big Cheese Triple: [Bleach, hasPart, Big Cheese]
Generated description
Big Cheese is a character from the anime series "Bleach," known for its distinctive cheese-themed appearance and comedic presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Cheese Target entity description: Big Cheese is a character from the anime series "Bleach," known for its distinctive cheese-themed appearance and comedic presence.
-
A.
The Big Cheese
"The Big Cheese" is a track by the experimental rock band Uncommon Ritual, likely showcasing their distinctive, genre-blending musical style.
-
B.
Cheese Land
Cheese Land is a Mario Kart Wii race track themed around a desert landscape filled with cheese-like terrain and obstacles.
-
C.
Quattro Formaggi
Quattro Formaggi is an EP released by the band Dogstar, featuring a selection of their alternative rock tracks.
-
D.
Stack That Cheese
"Stack That Cheese" is a track by rapper Lupe Fiasco featured on his concept album "Drogas Wave."
-
E.
Mayor McCheese
Mayor McCheese is a McDonaldland character depicted as a cheeseburger-headed mayor who appears in McDonald's advertising alongside Ronald McDonald.
- F. None of above. chosen
Provenance (5 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e35b96881908c9d339eea9e4314 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582c6188819083eb1c1a87ce75a3 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059cb0e8c81908745e5f5a1c64117 |
completed | May 10, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005ab310f481909193c5c5fe322d2a |
completed | May 10, 2026, 10:15 a.m. |
Created at: April 10, 2026, 5:14 a.m.