Triple
T19535439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trench |
E488755
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Scaled and Icy |
—
|
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: Scaled and Icy | Statement: [Trench, followedBy, Scaled and Icy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scaled and Icy Context triple: [Trench, followedBy, Scaled and Icy]
-
A.
Scaled and Icy
chosen
Scaled and Icy is a studio album by American musical duo Twenty One Pilots that showcases a brighter, more pop-oriented sound compared to much of their earlier work.
-
B.
Icy
"Icy" is Saweetie’s breakout debut EP that helped establish her as a prominent voice in contemporary hip-hop.
-
C.
Icy
"Icy" is a pop song by German singer Kim Petras, known for its sleek, synth-driven production and confident, emotionally detached lyrics.
-
D.
Iced
"Iced" is a mystery novel by American author Carol Higgins Clark featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
E.
Ice Cold
Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.