Triple
T5452021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMessage |
E122390
|
entity |
| Predicate | distinguishingUIElement |
P14118
|
FINISHED |
| Object | blue message bubbles |
—
|
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: blue message bubbles | Statement: [iMessage, distinguishingUIElement, blue message bubbles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishingUIElement Context triple: [iMessage, distinguishingUIElement, blue message bubbles]
-
A.
isDistinguishedBy
chosen
Indicates that one entity is characterized or set apart from others by a particular feature, quality, or attribute.
-
B.
userInterfaceSimilarTo
Indicates that one user interface resembles or closely matches another in appearance, layout, or interaction style.
-
C.
userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
D.
usesElement
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
E.
uniformDistinction
Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.