Triple
T10393247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Teens |
E244940
|
entity |
| Predicate | hasMusicVideoFor |
P3287
|
FINISHED |
| Object | Floorfiller |
E860039
|
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: Floorfiller | Statement: [A-Teens, hasMusicVideoFor, Floorfiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floorfiller Context triple: [A-Teens, hasMusicVideoFor, Floorfiller]
-
A.
Floorfiller
chosen
"Floorfiller" is a dance-pop single by Swedish pop group A-Teens, known for its upbeat, club-friendly sound and catchy chorus.
-
B.
The Floor Scrapers
The Floor Scrapers is a celebrated 1875 painting by French artist Gustave Caillebotte that depicts laborers planing a wooden floor in a realistic yet Impressionist-influenced style.
-
C.
Tiler
Tiler is the first name of Tiler Peck, a renowned American ballet dancer and principal with the New York City Ballet.
-
D.
Floor Sample
"Floor Sample" is a memoir by Julia Cameron that chronicles her creative life, struggles with addiction, and spiritual recovery as the author of "The Artist’s Way."
-
E.
Grand Tiler
Grand Tiler is a senior Masonic lodge officer responsible for guarding the entrance and ensuring the privacy and security of lodge meetings.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b6c750819087678bf81a3ef806 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbae9a9c81908178fca68eb142b6 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:06 p.m.