Triple
T10932432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenth Walk |
E258240
|
entity |
| Predicate | temporalContextInAuthorLife |
P44714
|
FINISHED |
| Object | late life of Jean-Jacques Rousseau |
—
|
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: late life of Jean-Jacques Rousseau | Statement: [Tenth Walk, temporalContextInAuthorLife, late life of Jean-Jacques Rousseau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporalContextInAuthorLife Context triple: [Tenth Walk, temporalContextInAuthorLife, late life of Jean-Jacques Rousseau]
-
A.
authorLifespanContext
chosen
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
-
B.
workInChronologyOfAuthor
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
C.
hasAuthorAtTimeOfWriting
Indicates that a work is associated with a specific author as they were at the particular time the work was written.
-
D.
dateOfAuthorDeathBeforePublication
Indicates that the author of a work died before that work was published.
-
E.
eraOfAuthor
Indicates the historical time period or era during which an author lived or produced their work.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a16cbc8190acd619defed7114c |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.