Triple
T22390276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Dreams |
E553493
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Starlight |
—
|
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: Starlight | Statement: [Wild Dreams, hasTrack, Starlight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starlight Context triple: [Wild Dreams, hasTrack, Starlight]
-
A.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
-
B.
Starlight
Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
-
C.
Starlight
"Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
-
D.
Starlight
Starlight is a light, warm-toned neutral finish used by Apple on the iPhone 13, blending elements of silver and soft gold.
-
E.
Starlight
chosen
Starlight is a poetic, flowing track that contributes to the serene, atmospheric soundscape of the album *Flowing Rivers*.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.