Triple
T14696762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hathaway Shirts |
E345181
|
entity |
| Predicate | hasAdvertisingStyle |
P87681
|
FINISHED |
| Object | storytelling print ads |
—
|
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: storytelling print ads | Statement: [Hathaway Shirts, hasAdvertisingStyle, storytelling print ads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdvertisingStyle Context triple: [Hathaway Shirts, hasAdvertisingStyle, storytelling print ads]
-
A.
hasAdvertisingVisual
Indicates that an entity includes, is associated with, or uses a specific visual element or asset for advertising purposes.
-
B.
hasBroadcastStyle
Indicates that one entity is characterized by, or associated with, a particular manner or style of broadcasting.
-
C.
hasPromotionStyle
chosen
Indicates the manner or approach used to promote or market something in relation to another entity.
-
D.
hasAdvertisingSlogan
Indicates that an entity uses or is associated with a particular advertising slogan as part of its promotional or branding activities.
-
E.
usesAdvertisingModel
Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.