Triple
T32124151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butterfly Room |
E820453
|
entity |
| Predicate | hasDecorTheme |
P164442
|
FINISHED |
| Object | butterflies |
—
|
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: butterflies | Statement: [Butterfly Room, hasDecorTheme, butterflies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDecorTheme Context triple: [Butterfly Room, hasDecorTheme, butterflies]
-
A.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
B.
isThemedTo
chosen
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
-
C.
hasMaterialTheme
Indicates that something conceptually centers on, concerns, or thematically involves a particular material or substance.
-
D.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
E.
hasGhostTheme
Indicates that something features or is characterized by a ghost-related or supernatural theme.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: May 1, 2026, 12:29 a.m.