Triple
T17910463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach City |
E447805
|
entity |
| Predicate | homeOfCharacter |
P107735
|
FINISHED |
| Object | Garnet |
—
|
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: Garnet | Statement: [Beach City, homeOfCharacter, Garnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garnet Context triple: [Beach City, homeOfCharacter, Garnet]
-
A.
Garnet
Garnet is the given name of Garnet Wolseley, 1st Viscount Wolseley, a prominent 19th-century British Army field marshal and military reformer.
-
B.
Garnet
Garnet is the surname of Henry Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
-
C.
Garnet
chosen
Garnet is a powerful, stoic fusion Gem and one of the main Crystal Gems who protects Earth in the animated series "Steven Universe."
-
D.
Peridot
Peridot is a small, green, technologically skilled Gem from the animated series "Steven Universe," known for her character arc from antagonistic Homeworld technician to quirky, loyal member of the Crystal Gems.
-
E.
Amethyst
Amethyst is a fun-loving, shape-shifting Crystal Gem from the animated series "Steven Universe," known for her rebellious attitude, messy habits, and deep emotional growth.
- 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.