Triple
T3972205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beck |
E92359
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Dreams |
E24996
|
NE FINISHED |
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: [Beck, notableSong, Dreams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreams Context triple: [Beck, notableSong, Dreams]
-
A.
Dreams
chosen
"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.
In Dreams
"In Dreams" is a 1963 Roy Orbison ballad renowned for its haunting melody, operatic vocal style, and enduring influence on pop and rock music.
-
C.
Nightmares
"Nightmares" is a track from the hip-hop duo Clipse, featured on their critically acclaimed 2006 album *Hell Hath No Fury*.
-
D.
Sweet Dreams
"Sweet Dreams" is a country song popularized by Emmylou Harris, known for its lush production and Harris's soaring vocal performance, and is one of her signature hits.
-
E.
Sweet Dreams
"Sweet Dreams" is a hit electro-R&B single by Beyoncé, known for its haunting melody, synth-driven production, and prominent place in her "I Am... Sasha Fierce" era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400fa9ac8190adf70a4c49eac32c |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.