Triple
T30357331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentimental Journey Through France and Italy |
E772183
|
entity |
| Predicate | authorDiedDuringComposition |
P56593
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sentimental Journey Through France and Italy, authorDiedDuringComposition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorDiedDuringComposition Context triple: [Sentimental Journey Through France and Italy, authorDiedDuringComposition, true]
-
A.
authorDiedBeforeBroadcast
Indicates that the author's death occurred earlier in time than the broadcast of the related work or content.
-
B.
dateOfAuthorDeathBeforePublication
Indicates that the author of a work died before that work was published.
-
C.
authorDateOfDeath
Indicates the date on which the author died.
-
D.
yearOfAuthorDeathRelation
Indicates the specific year in which the referenced author died.
-
E.
incompleteAtAuthorDeath
chosen
Indicates that the work or project was not finished at the time of its creator’s death.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 29, 2026, 7:57 p.m.