Triple
T18502941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Core |
E452124
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | 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: Dreams | Statement: [Hard Core, hasPart, Dreams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreams Context triple: [Hard Core, hasPart, Dreams]
-
A.
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.
-
B.
Dreams
"Dreams" is a smooth R&B/soul song by Philip Bailey that showcases his distinctive falsetto and melodic style.
-
C.
Dreams
"Dreams" is the debut studio album by Norwegian-German indie pop band The Whitest Boy Alive, known for its minimalist, groove-oriented sound.
-
D.
Dreams
chosen
"Dreams" is a song by the Irish rock band The Cranberries, known for its ethereal vocals and jangly guitar sound, and was notably covered by the band Colors.
-
E.
Dreams
Dreams is a 1990 Japanese anthology film directed by Akira Kurosawa, composed of eight visually striking, dreamlike vignettes that explore themes of memory, nature, war, and the subconscious.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.