Triple
T19550856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCD2 Records |
E489193
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | The Cab |
—
|
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: The Cab | Statement: [DCD2 Records, associatedAct, The Cab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Cab Context triple: [DCD2 Records, associatedAct, The Cab]
-
A.
The Cab
chosen
The Cab is an American pop rock band known for its catchy melodies and emotionally driven lyrics, which gained popularity in the late 2000s and early 2010s.
-
B.
Mr. Cab Driver
"Mr. Cab Driver" is a politically charged rock-funk song by Lenny Kravitz, known for its raw guitar sound and lyrics confronting racism and prejudice.
-
C.
The Cab Driver
The Cab Driver is the alias of Darryl Hill, a figure known primarily in connection with his activities under this moniker.
-
D.
Kaboings
Kaboings are a type of Kremling enemy from the Donkey Kong video game series, known for their distinctive bouncing movement and dual-headed appearance.
-
E.
Matando Cabos
Matando Cabos is a 2004 Mexican dark comedy crime film that gained cult status for its blend of absurd humor, action, and a twisting kidnapping plot set in Mexico City.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2feed48190ad49f64980dc885f |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.