Triple
T19584874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Hot Minute |
E490082
|
entity |
| Predicate | incorporatesMetalInfluence |
P136357
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [One Hot Minute, incorporatesMetalInfluence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesMetalInfluence Context triple: [One Hot Minute, incorporatesMetalInfluence, true]
-
A.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
-
B.
stateMetal
Indicates that an entity is in a metallic state or exhibits properties characteristic of a metal.
-
C.
metallicity
Indicates the proportion of an object's mass that is made up of elements heavier than hydrogen and helium, typically used to describe the chemical richness of stars or galaxies.
-
D.
allMetalConstruction
Indicates that something is constructed entirely or almost entirely from metal components.
-
E.
metalComparedWith
Indicates a comparison being made between two metals in terms of some property, quality, or characteristic.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64050127c8190b93b8716a1a4ad81 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:42 p.m.