Triple
T9025887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple October 2016 Mac event |
E216046
|
entity |
| Predicate | officialSlogan |
P6980
|
FINISHED |
| Object | hello again |
—
|
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: hello again | Statement: [Apple October 2016 Mac event, officialSlogan, hello again]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialSlogan Context triple: [Apple October 2016 Mac event, officialSlogan, hello again]
-
A.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
B.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
C.
sloganUsedIn
chosen
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
D.
sloganInEnglish
Indicates that an entity’s slogan is expressed in the English language.
-
E.
sloganInspired
Indicates that one slogan was created, influenced, or shaped by ideas, style, or content drawn from another source.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7ce71c81908041814dc9ec1713 |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.