Triple
T29190874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Leroy |
E739984
|
entity |
| Predicate | setsArtisticStandardAs |
P136270
|
FINISHED |
| Object | absolute perfection |
—
|
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: absolute perfection | Statement: [Thomas Leroy, setsArtisticStandardAs, absolute perfection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsArtisticStandardAs Context triple: [Thomas Leroy, setsArtisticStandardAs, absolute perfection]
-
A.
artisticStyle
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
B.
hasArtisticStrategy
Indicates that an entity employs or is associated with a particular artistic approach, method, or plan in creating or presenting art.
-
C.
hasArtisticLevel
chosen
Indicates the degree or quality of artistic skill, sophistication, or creativity associated with an entity.
-
D.
hasArtisticAdvisor
Indicates that one entity serves as an artistic advisor, providing artistic guidance or counsel, to another entity.
-
E.
hasArtisticPolicy
Indicates that an entity maintains or follows a defined set of principles or guidelines governing artistic choices, practices, or direction.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6638aa68c8190a02fd50ecd5a96fd |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:02 p.m.