Triple
T23371616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Got Our Own Thang |
E593488
|
entity |
| Predicate | hasMemberOnRecording |
P22071
|
FINISHED |
| Object | G-Whiz |
—
|
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: G-Whiz | Statement: [We Got Our Own Thang, hasMemberOnRecording, G-Whiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-Whiz Context triple: [We Got Our Own Thang, hasMemberOnRecording, G-Whiz]
-
A.
G-Whiz
chosen
G-Whiz is a musician best known as a member of the hip hop group Blue Funk.
-
B.
Gadzoom
Gadzoom is a high-speed chairlift at Snowbird Ski and Summer Resort in Utah, serving popular intermediate and advanced terrain.
-
C.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
-
D.
GIZ
GIZ is a German government-owned development agency that provides international cooperation services for sustainable development and international education.
-
E.
GIZ
GIZ is the IATA airport code for Jazan Regional Airport in Jazan, Saudi Arabia.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:32 p.m.