Triple
T17910499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach City |
E447805
|
entity |
| Predicate | firstAppearance |
P795
|
FINISHED |
| Object | Gem Glow |
—
|
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: Gem Glow | Statement: [Beach City, firstAppearance, Gem Glow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gem Glow Context triple: [Beach City, firstAppearance, Gem Glow]
-
A.
Gem Glow
chosen
"Gem Glow" is the pilot episode of the animated television series Steven Universe, introducing the show's main characters and magical world.
-
B.
The Glow
The Glow is a track by American producer and DJ RJD2, known for its richly layered, sample-based instrumental hip-hop sound.
-
C.
Glow
"Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
-
D.
Glow
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
-
E.
Glow
"Glow" is a pop song by Australian singer Jessica Mauboy, showcasing her soulful vocals and contemporary R&B-influenced style.
- 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.