Triple
T3476070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rembrandt’s workshop |
E73376
|
entity |
| Predicate | hadPractice |
P49197
|
FINISHED |
| Object | allowing pupils to work on master’s commissions |
—
|
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: allowing pupils to work on master’s commissions | Statement: [Rembrandt’s workshop, hadPractice, allowing pupils to work on master’s commissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPractice Context triple: [Rembrandt’s workshop, hadPractice, allowing pupils to work on master’s commissions]
-
A.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
-
B.
homePractice
Indicates that an activity, skill, or task is being practiced or carried out in a home setting rather than in a formal or external environment.
-
C.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
D.
mentionsPractice
Indicates that one entity refers to, discusses, or brings up a particular practice in some form of communication.
-
E.
hadNo
Indicates that one entity completely lacked or did not possess another entity, attribute, or relationship.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb593a388190b7786190deba96ed |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:17 p.m.