Triple
T17439031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Your Shine On |
E424098
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Declan Whitebloom |
—
|
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: Declan Whitebloom | Statement: [Get Your Shine On, musicVideoDirector, Declan Whitebloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Declan Whitebloom Context triple: [Get Your Shine On, musicVideoDirector, Declan Whitebloom]
-
A.
Declan Whitebloom
chosen
Declan Whitebloom is a British music video director known for his visually polished work with major pop artists.
-
B.
Dylan O'Brien
Dylan O'Brien is an American actor best known for starring in the "Maze Runner" film series and the TV show "Teen Wolf."
-
C.
Evan Alex
Evan Alex is an American child actor best known for his role in Jordan Peele’s horror film "Us."
-
D.
Caleb Landry Jones
Caleb Landry Jones is an American actor and musician known for his intense, often unsettling performances in films such as "Get Out," "Three Billboards Outside Ebbing, Missouri," and "Nitram."
-
E.
Corey Hawkins
Corey Hawkins is an American actor known for his roles in films like "Straight Outta Compton" and "Kong: Skull Island," as well as television series such as "24: Legacy."
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff584cc81908207c163f19ff972 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.