Triple
T18149829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22 Dreams |
E434475
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | One Bright Star |
—
|
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: One Bright Star | Statement: [22 Dreams, hasPart, One Bright Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Bright Star Context triple: [22 Dreams, hasPart, One Bright Star]
-
A.
One Bright Star
chosen
"One Bright Star" is a Christmas-themed song featured on Kristin Chenoweth’s holiday album "A Lovely Way to Spend Christmas."
-
B.
Starlight
Starlight is a light, warm-toned neutral finish used by Apple on the iPhone 13, blending elements of silver and soft gold.
-
C.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
-
D.
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.
-
E.
Starlight
"Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3812e8819097f025476d5c6a1d |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.