Triple
T9004591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Photos |
E215111
|
entity |
| Predicate | marketingTaglineElement |
P7688
|
FINISHED |
| Object | “The moments just before and after your picture” |
—
|
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 moments just before and after your picture” | Statement: [Live Photos, marketingTaglineElement, “The moments just before and after your picture”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingTaglineElement Context triple: [Live Photos, marketingTaglineElement, “The moments just before and after your picture”]
-
A.
taglineForm
Indicates that one entity serves as the tagline or slogan associated with another entity.
-
B.
hasTagline
chosen
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
C.
sloganConcept
Indicates that a particular concept, idea, or theme is expressed or represented by a given slogan.
-
D.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
E.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.