Triple
T35660453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaches Ain't Ready |
E1030417
|
entity |
| Predicate | marketingCampaignType |
P672
|
FINISHED |
| Object | tagline-based campaign |
—
|
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: tagline-based campaign | Statement: [Beaches Ain't Ready, marketingCampaignType, tagline-based campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingCampaignType Context triple: [Beaches Ain't Ready, marketingCampaignType, tagline-based campaign]
-
A.
campaignType
chosen
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
B.
promotionalCampaign
Indicates a relationship where one entity organizes or runs a coordinated set of marketing activities aimed at promoting another entity, product, or service.
-
C.
marketingMessageType
Indicates the specific category or kind of marketing message being used or communicated in the relationship.
-
D.
campaignFormat
Indicates the specific structural or stylistic format in which a campaign is designed or delivered (e.g., type, layout, or presentation style).
-
E.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7aa7b88190a52ff8ef9ceddf54 |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.