Triple
T18962869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | But Here We Are |
E463953
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rest |
—
|
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: Rest | Statement: [But Here We Are, hasPart, Rest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rest Context triple: [But Here We Are, hasPart, Rest]
-
A.
Rest
chosen
Rest is a song featured on Green Day’s compilation album "1,039/Smoothed Out Slappy Hours."
-
B.
Rest
Rest is a 2017 studio album by French-British artist Charlotte Gainsbourg that blends intimate, melancholic songwriting with atmospheric pop production.
-
C.
Rest Stop
"Rest Stop" is a 2006 American horror film, notable as an early starring vehicle for actress Jaimie Alexander, about a young woman terrorized at an isolated roadside rest area.
-
D.
Repose
Repose is a celebrated late-19th-century painting by American artist John White Alexander, known for its elegant depiction of a reclining woman rendered in a refined, tonal style.
-
E.
RELAX
RELAX is an early XML schema language that influenced the design of RELAX NG for defining and validating the structure of XML documents.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d420f481909aa22a0d22ac4af1 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon