Triple
T31286437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starfish and Coffee |
E797815
|
entity |
| Predicate | hasTargetAudienceAspect |
P62009
|
FINISHED |
| Object | appeals to children and adults |
—
|
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: appeals to children and adults | Statement: [Starfish and Coffee, hasTargetAudienceAspect, appeals to children and adults]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetAudienceAspect Context triple: [Starfish and Coffee, hasTargetAudienceAspect, appeals to children and adults]
-
A.
hasTargetAudienceLanguage
Indicates that something is intended for or directed toward an audience that speaks a particular language.
-
B.
hasTargetAudienceRegion
Indicates that something is intended for or directed toward an audience located in a specific geographic region.
-
C.
relatesToAudience
chosen
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
D.
hasAudienceReach
Indicates the extent or scope of people or groups that are exposed to, can access, or are targeted by a particular entity, message, or activity.
-
E.
hasMarketingTarget
Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 9:13 p.m.