Triple
T2522405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolce & Gabbana The One |
E55552
|
entity |
| Predicate | heartNote |
P39618
|
FINISHED |
| Object | jasmine |
—
|
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: jasmine | Statement: [Dolce & Gabbana The One, heartNote, jasmine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heartNote Context triple: [Dolce & Gabbana The One, heartNote, jasmine]
-
A.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
B.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
C.
heartPresence
Indicates the existence or presence of a heart in or associated with the referenced entity.
-
D.
care
Indicates showing concern, attention, or responsibility for the well-being or needs of another entity.
-
E.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
- F. None of above. chosen
Provenance (4 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23895348190bb4dad6d7174893a |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1487e0c8190b90dcf30586ad4cd |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:46 p.m.