Triple
T17460937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internet Money |
E425148
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lucid Dreams |
—
|
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: Lucid Dreams | Statement: [Internet Money, notableWork, Lucid Dreams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucid Dreams Context triple: [Internet Money, notableWork, Lucid Dreams]
-
A.
Lucid Dreams
chosen
"Lucid Dreams" is a song best known as a breakout emo-rap hit by Juice WRLD that blends melodic vocals with introspective lyrics about heartbreak and emotional pain.
-
B.
Dream Visions
Dream Visions is a literary work composed of allegorical dream narratives that explore moral and spiritual themes.
-
C.
Dry Dreams
Dry Dreams is a music album by James Dennis Carroll, better known as punk poet and musician Jim Carroll, showcasing his distinctive blend of spoken-word storytelling and rock.
-
D.
Dreams
"Dreams" is a song from John Legend’s 2013 R&B album *Love in the Future*, known for its smooth, romantic production and soulful vocals.
-
E.
Dreams
"Dreams" is a smooth R&B/soul song by Philip Bailey that showcases his distinctive falsetto and melodic 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.