Triple
T21493509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ScHoolboy Q |
E530293
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Collard Greens |
—
|
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: Collard Greens | Statement: [ScHoolboy Q, notableSong, Collard Greens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collard Greens Context triple: [ScHoolboy Q, notableSong, Collard Greens]
-
A.
Collard Greens
chosen
"Collard Greens" is a popular hip-hop single by Schoolboy Q featuring Kendrick Lamar, known for its playful wordplay and West Coast party vibe.
-
B.
Chard
Chard is a historic market town in Somerset, England, often noted for its claim as the birthplace of powered flight and as one of the county’s southernmost towns.
-
C.
Cabbage Leaf
Cabbage Leaf is a famous black-and-white close-up photograph by Edward Weston that transforms an ordinary cabbage leaf into an abstract, sculptural study of form and texture.
-
D.
Kale
Kale is a small irregular moon of Jupiter belonging to the planet’s distant, retrograde outer satellite group.
-
E.
Kale
Kale is a town in Myanmar’s Sagaing Region, known as a local commercial and transport hub in the country’s northwest.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea54fb608190a147cd8aa6d6d04b |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:23 p.m.