Triple
T10533521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flowers |
E248503
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Art Flowers |
E248503
|
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: Art Flowers | Statement: [Flowers, hasNotableBearer, Art Flowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Flowers Context triple: [Flowers, hasNotableBearer, Art Flowers]
-
A.
Artistic Flowers
"Artistic Flowers" is a collection of poetry by Georgian symbolist poet Galaktion Tabidze, reflecting his lyrical and introspective style.
-
B.
Flowers
"Flowers" is a 2023 pop single by Miley Cyrus that became a global hit for its empowering lyrics about self-love and independence.
-
C.
Flowers
chosen
Flowers is a common English surname shared by various notable individuals across fields such as sports, music, and politics.
-
D.
Flowers
Flowers is a dark British comedy-drama television series that explores the dysfunctional lives of the eccentric Flowers family.
-
E.
Bouquet
"Bouquet" is the debut extended play (EP) by American DJ duo The Chainsmokers, featuring their breakthrough hit "Roses."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a19b59c8190b00db7d5813ad37d |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e507b408190ae3538d02536ef4c |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:31 p.m.