Triple
T13642441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Yourself a Favor |
E326014
|
entity |
| Predicate | hasProductionTrait |
P54468
|
FINISHED |
| Object | layered arrangement |
—
|
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: layered arrangement | Statement: [Do Yourself a Favor, hasProductionTrait, layered arrangement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionTrait Context triple: [Do Yourself a Favor, hasProductionTrait, layered arrangement]
-
A.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
B.
hasProductionAspect
chosen
Indicates that something possesses or involves a particular aspect, feature, or characteristic related to its production process or creation.
-
C.
hasProductionValue
Indicates that something possesses or is associated with a particular level or type of production quality or cost.
-
D.
hasProductionMethod
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
-
E.
hasProductionRole
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.