Triple
T16209693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Your Eyes |
E393424
|
entity |
| Predicate | hasLushArrangement |
P34739
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Open Your Eyes, hasLushArrangement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLushArrangement Context triple: [Open Your Eyes, hasLushArrangement, true]
-
A.
hasLushProduction
Indicates that something (such as a work of art or media) features rich, elaborate, and highly detailed production qualities.
-
B.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
C.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
-
D.
arrangementFeatures
chosen
Indicates that one entity specifies or characterizes the structural or compositional features of an arrangement involving another entity.
-
E.
includesOrnamentalPlant
Indicates that one entity contains, features, or has as part of it an ornamental plant used primarily for decorative purposes.
- F. None of above.
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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22711e4fc8190bf7a9f0c59b7889f |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.