Triple
T919590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Paul-de-Mausole asylum |
E19852
|
entity |
| Predicate | startTimeOfStayOfVincentVanGogh |
P13526
|
FINISHED |
| Object | 1889-05-08 |
—
|
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: 1889-05-08 | Statement: [Saint-Paul-de-Mausole asylum, startTimeOfStayOfVincentVanGogh, 1889-05-08]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfStayOfVincentVanGogh Context triple: [Saint-Paul-de-Mausole asylum, startTimeOfStayOfVincentVanGogh, 1889-05-08]
-
A.
dateOfImprisonmentStart
Indicates the date on which an entity’s period of imprisonment begins.
-
B.
periodOfResidenceOfErnestHemingwayStart
Indicates the date when a specific period of Ernest Hemingway’s residence at a particular place began.
-
C.
inceptionTime
chosen
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
D.
livedDuring
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
E.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
- 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_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. |
Created at: March 1, 2026, 7:40 p.m.