Triple
T21873087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time and a Word |
E540056
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sweet 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: Sweet Dreams | Statement: [Time and a Word, hasPart, Sweet Dreams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Dreams Context triple: [Time and a Word, hasPart, Sweet Dreams]
-
A.
Sweet Dreams
Sweet Dreams is a 1985 biographical drama film about country singer Patsy Cline, starring Jessica Lange in an acclaimed performance.
-
B.
Sweet Dreams
chosen
"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.
-
C.
Sweet Dreams
"Sweet Dreams" is a song best known as a synth-pop hit by Eurythmics that has become a classic of 1980s popular music.
-
D.
Sweet Dreams
Sweet Dreams is a contemporary ballet choreographed by Jiří Kylián, known for its abstract, emotionally resonant movement language and innovative use of music and staging.
-
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 (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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.