Triple
T35046499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Names and Local Habitations |
E1011209
|
entity |
| Predicate | hasMinimalistTendency |
P156364
|
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: [Names and Local Habitations, hasMinimalistTendency, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimalistTendency Context triple: [Names and Local Habitations, hasMinimalistTendency, true]
-
A.
hasMinimalistStyle
Indicates that something exhibits a simple, clean, and uncluttered style with minimal decorative elements.
-
B.
hasMinimalistApproach
chosen
Indicates that an entity employs a simple, stripped-down, and non-extravagant method or style in performing an action or fulfilling a function.
-
C.
hasMinimalistProduction
Indicates that something is produced or arranged using a sparse, simple, and stripped-down style with minimal elements or embellishment.
-
D.
minimality
Indicates that something has the smallest or least possible value, size, or complexity among a relevant set, such that no strictly smaller or simpler alternative satisfies the same conditions.
-
E.
usesMinimalArrangement
Indicates that something employs the smallest or simplest possible arrangement of elements needed to achieve its purpose.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:01 p.m.