Triple
T8719160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Contemplations |
E206967
|
entity |
| Predicate | authorResidenceDuringPublication |
P3044
|
FINISHED |
| Object | exile in Guernsey |
—
|
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: exile in Guernsey | Statement: [Les Contemplations, authorResidenceDuringPublication, exile in Guernsey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorResidenceDuringPublication Context triple: [Les Contemplations, authorResidenceDuringPublication, exile in Guernsey]
-
A.
authorPublished
Indicates that an author has published a particular work (such as a book, article, or paper).
-
B.
creatorLivedIn
Indicates that the person who created a work resided in a particular place for some period of time.
-
C.
artistResidenceAtTimeOfWork
chosen
Indicates the place where an artist was living at the time a particular work was created.
-
D.
hasAuthorAffiliationAtTimeOfPublication
Indicates that an author was affiliated with a particular organization or institution at the time a work was published.
-
E.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d014e208190a4c6055901580d0c |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.