Triple
T26487587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintorettor Jishu |
E664864
|
entity |
| Predicate | featuresArtistInPlot |
P187025
|
FINISHED |
| Object | Tintoretto |
—
|
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: Tintoretto | Statement: [Tintorettor Jishu, featuresArtistInPlot, Tintoretto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtistInPlot Context triple: [Tintorettor Jishu, featuresArtistInPlot, Tintoretto]
-
A.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
B.
featuresArtistFromRegion
Indicates that something includes or highlights an artist whose origin or affiliation is with a specified geographic region.
-
C.
featuresVariousArtists
Indicates that something (typically a creative work) includes contributions from multiple distinct artists rather than a single primary artist.
-
D.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
E.
featuresArtistTransitionTo
Indicates a change in the featured artist on a work, marking the transition from one featured artist to another.
- F. None of above. chosen
Provenance (4 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 27, 2026, 12:31 a.m.