Triple
T10717244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladytron |
E252708
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Velocifero |
E881264
|
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: Velocifero | Statement: [Ladytron, album, Velocifero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velocifero Context triple: [Ladytron, album, Velocifero]
-
A.
Velocifero
Velocifero is a 2008 electroclash and synth-pop album by British band Ladytron, noted for its dark, atmospheric sound and critical acclaim.
-
B.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
-
C.
Velous
Velous is an American producer, songwriter, and recording artist known for his work in hip-hop and R&B, including contributions to major tracks like Kanye West’s “All Day.”
-
D.
The Cyclist
The Cyclist is a 1913 Futurist painting by Italian artist Carlo Carrà that dynamically depicts a speeding bicycle rider to convey motion and modern urban energy.
-
E.
Records on Wheels
Records on Wheels was the original name of the Canadian entertainment company now known as Entertainment One, which began as a music and video distribution business.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.