Triple
T13828178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Dusick |
E332308
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Kara's Flowers |
E267744
|
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: Kara's Flowers | Statement: [Ryan Dusick, associatedAct, Kara's Flowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kara's Flowers Context triple: [Ryan Dusick, associatedAct, Kara's Flowers]
-
A.
Kara’s Flowers
chosen
Kara’s Flowers was an American alternative rock band from Los Angeles that later evolved into the pop-rock group Maroon 5.
-
B.
Wayland Flowers
Wayland Flowers was an American ventriloquist and comedian best known for his flamboyant puppet character Madame, a fixture of 1970s and 1980s television and nightclub entertainment.
-
C.
Blooming
Blooming is a professional football club from Bolivia that competes in the country's top-tier league.
-
D.
Marché aux Fleurs
Marché aux Fleurs is a famous open-air flower market in Nice, France, known for its colorful stalls and traditional Provençal atmosphere.
-
E.
The Flower Carrier
The Flower Carrier is a famous 1935 painting by Mexican muralist Diego Rivera that depicts a laborer struggling under an enormous basket of flowers, symbolizing the burdens of the working class.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02970df88190a1bf35dffd131d9d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ea22c081909cc34f1030a8589b |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.