Triple
T7962556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Quit Your Day Job! |
E184903
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | GLC |
E65305
|
NE FINISHED |
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: GLC | Statement: [Don't Quit Your Day Job!, featuresArtist, GLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLC Context triple: [Don't Quit Your Day Job!, featuresArtist, GLC]
-
A.
GLC
GLC is a prominent and historic law college in Mumbai, India, officially known as Government Law College.
-
B.
GLC
GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
-
C.
GLC
chosen
GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
-
D.
GLC
The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
-
E.
EGLC
EGLC is the ICAO airport code for London City Airport, a central London hub known for its short runway and business-focused flights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe08c36f48190b005c6c92ad813d0 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.