Triple
T919591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Paul-de-Mausole asylum |
E19852
|
entity |
| Predicate | endTimeOfStayOfVincentVanGogh |
P22379
|
FINISHED |
| Object | 1890-05 |
—
|
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: 1890-05 | Statement: [Saint-Paul-de-Mausole asylum, endTimeOfStayOfVincentVanGogh, 1890-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfStayOfVincentVanGogh Context triple: [Saint-Paul-de-Mausole asylum, endTimeOfStayOfVincentVanGogh, 1890-05]
-
A.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
B.
periodOfResidenceOfErnestHemingwayEnd
Indicates the date or time when Ernest Hemingway’s residence at a particular place came to an end.
-
C.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
D.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
-
E.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.