Triple
T24915762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Martial Chapel |
E623977
|
entity |
| Predicate | frescoesAttributedTo |
P23612
|
FINISHED |
| Object | Matteo Giovannetti |
—
|
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: Matteo Giovannetti | Statement: [Saint Martial Chapel, frescoesAttributedTo, Matteo Giovannetti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frescoesAttributedTo Context triple: [Saint Martial Chapel, frescoesAttributedTo, Matteo Giovannetti]
-
A.
frescoesDate
Indicates that a fresco is associated with a specific date or time period of its creation or execution.
-
B.
hasFrescoes
chosen
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
-
C.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
D.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
E.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4238c52488190a58b1191f4dc3373 |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:28 a.m.