Triple
T15032362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPP |
E378383
|
entity |
| Predicate | taglineAssociation |
P7688
|
FINISHED |
| Object | Share and Enjoy |
—
|
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: Share and Enjoy | Statement: [GPP, taglineAssociation, Share and Enjoy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taglineAssociation Context triple: [GPP, taglineAssociation, Share and Enjoy]
-
A.
taglineMatch
Indicates that two entities share the same tagline or that a tagline corresponds to a given entity.
-
B.
taglineForm
Indicates that one entity serves as the tagline or slogan associated with another entity.
-
C.
hasTagline
chosen
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
D.
usedAsMarketingTaglineFor
Indicates that something is employed as a promotional slogan or catchphrase to market a particular product, service, brand, or entity.
-
E.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.