Triple
T21552597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Sweet Day |
E531801
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Fantasy |
—
|
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: Fantasy | Statement: [One Sweet Day, precededBySingle, Fantasy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fantasy Context triple: [One Sweet Day, precededBySingle, Fantasy]
-
A.
Fantasy
"Fantasy" is a 1973 studio album by American singer-songwriter Carole King that blends pop, soul, and jazz influences and is noted for its conceptual, suite-like structure.
-
B.
Fantasy
chosen
"Fantasy" is a popular song by Mariah Carey, known for its catchy hook and prominent sampling of Tom Tom Club’s "Genius of Love."
-
C.
Fantasy
Fantasy is a whimsical, fantasy-themed area in the Phantasialand amusement park known for its imaginative attractions and immersive design.
-
D.
Fantasy
"Fantasy" is a song by the French electronic music band M83, known for its atmospheric, cinematic sound and emotional, synth-driven style.
-
E.
Fantasy
Fantasy is a speculative fiction genre featuring magical elements, imaginary worlds, and supernatural creatures that are not bound by the rules of the real world.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59375f481909d9e2b66d18c7c32 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:29 p.m.