Triple
T24562709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marietta Robusti |
E607698
|
entity |
| Predicate | workshop |
P147882
|
FINISHED |
| Object | Tintoretto’s workshop |
—
|
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’s workshop | Statement: [Marietta Robusti, workshop, Tintoretto’s workshop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workshop Context triple: [Marietta Robusti, workshop, Tintoretto’s workshop]
-
A.
notableWorkshop
Indicates that an entity is a workshop distinguished by particular significance, prominence, or recognition (e.g., in impact, reputation, or importance).
-
B.
workshopMark
Indicates that an entity has been designated, labeled, or flagged in the context of a workshop-related process or activity.
-
C.
workshopInTitleIndicates
Indicates that the presence of the word "workshop" in a title signifies that the associated event, session, or item is a workshop.
-
D.
workshopOrStudio
chosen
Indicates that one entity functions as a workshop or studio associated with, used by, or belonging to another entity.
-
E.
hasWorkshopsAt
Indicates that an entity conducts, hosts, or offers workshops at a specified location or venue.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f7a244819080596718c21d0df3 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.