Triple
T23774426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestrina Pietà |
E587628
|
entity |
| Predicate | creatorAttribution |
P23529
|
FINISHED |
| Object | Michelangelo Buonarroti |
—
|
NE NERFINISHED |
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: Michelangelo Buonarroti | Statement: [Palestrina Pietà, creatorAttribution, Michelangelo Buonarroti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorAttribution Context triple: [Palestrina Pietà, creatorAttribution, Michelangelo Buonarroti]
-
A.
cultureAttributedTo
Indicates that a particular cultural style, tradition, or influence is ascribed to or associated with a specific source, group, or origin.
-
B.
creativeContributor
Indicates a relationship where an entity plays an active role in originating, designing, or shaping the creative content or form of another entity.
-
C.
originAuthor
chosen
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
-
D.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
-
E.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c468fb948190baa66a4353f0ca71 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.