Triple
T33758623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malibu Stacy |
E865044
|
entity |
| Predicate | marketingTacticSatirized |
P180577
|
FINISHED |
| Object | minor product changes marketed as new |
—
|
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: minor product changes marketed as new | Statement: [Malibu Stacy, marketingTacticSatirized, minor product changes marketed as new]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingTacticSatirized Context triple: [Malibu Stacy, marketingTacticSatirized, minor product changes marketed as new]
-
A.
satirizedBy
Indicates that the subject is the target or object of satire created or performed by the specified entity.
-
B.
hasSatiricalTone
Indicates that something expresses its content in a mocking, ironic, or humorous way to criticize or ridicule its subject.
-
C.
promotionGimmick
Indicates a relationship where something is used as a special tactic or device to attract attention or boost interest in a promotion.
-
D.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
E.
usedForHumor
Indicates that something is employed with the intention of being funny, amusing, or comical.
- F. None of above. chosen
Provenance (4 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69f7431aac148190bb6aac59817c174a |
completed | May 3, 2026, 12:44 p.m. |
Created at: May 1, 2026, 1:45 a.m.