Triple
T22389113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come & Get It |
E553469
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dreamlab |
—
|
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: Dreamlab | Statement: [Come & Get It, producer, Dreamlab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreamlab Context triple: [Come & Get It, producer, Dreamlab]
-
A.
Dreamlab
chosen
Dreamlab is a music production and songwriting duo known for crafting polished pop tracks for major artists.
-
B.
Imagination Lab
Imagination Lab is an interactive, hands-on science and creativity exhibit area within the WonderWorks Orlando attraction.
-
C.
Wonderlab
Wonderlab is an interactive science exhibition space within the NEMO Science Museum that engages visitors with hands-on experiments and demonstrations.
-
D.
DreamSpark
DreamSpark was a Microsoft program that provided students with free access to professional-level developer and design tools, later rebranded as Azure Dev Tools for Teaching.
-
E.
AlphaDream
AlphaDream was a Japanese video game developer best known for creating the Mario & Luigi role-playing game series for Nintendo handheld consoles.
- 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_69f15858c13c819098fe66a50ecea7d7 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.