Triple
T3402003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DGC Records |
E71675
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object | Weezer |
E93287
|
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: Weezer | Statement: [DGC Records, signedArtist, Weezer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weezer Context triple: [DGC Records, signedArtist, Weezer]
-
A.
Weezer
chosen
Weezer is an American rock band known for its catchy power-pop sound, self-titled “Blue Album,” and influential role in 1990s alternative rock.
-
B.
The Dandy Warhols
The Dandy Warhols are an American alternative rock band from Portland, Oregon, known for their catchy, guitar-driven sound and songs like "Bohemian Like You."
-
C.
Fall Out Boy
Fall Out Boy is an American pop punk and emo-influenced rock band known for their catchy hooks, energetic performances, and hits like "Sugar, We're Goin Down" and "Thnks fr th Mmrs."
-
D.
Goo Goo Dolls
Goo Goo Dolls are an American rock band best known for their melodic alternative rock sound and hit singles like "Iris" and "Slide."
-
E.
Blink-182
Blink-182 is an American pop-punk band known for its catchy melodies, irreverent humor, and influential role in bringing punk rock into the mainstream in the late 1990s and early 2000s.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd2f8a481908554635ed59c8939 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:14 p.m.