Triple
T37149484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 5 |
E920324
|
entity |
| Predicate | marketedSlogan |
P100379
|
FINISHED |
| Object | The biggest thing to happen to iPhone since iPhone. |
—
|
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: The biggest thing to happen to iPhone since iPhone. | Statement: [iPhone 5, marketedSlogan, The biggest thing to happen to iPhone since iPhone.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketedSlogan Context triple: [iPhone 5, marketedSlogan, The biggest thing to happen to iPhone since iPhone.]
-
A.
sloganInspired
Indicates that one slogan was created, influenced, or shaped by ideas, style, or content drawn from another source.
-
B.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
-
C.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
D.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
E.
sloganUsedBy
chosen
Indicates that a particular slogan is employed or adopted by a specific entity (such as a person, organization, or brand) in its communication or branding.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.