Triple
T21632775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Père Duchesne |
E533875
|
entity |
| Predicate | stanceDuringFrenchRevolution |
P145320
|
FINISHED |
| Object | pro-revolutionary |
—
|
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: pro-revolutionary | Statement: [Le Père Duchesne, stanceDuringFrenchRevolution, pro-revolutionary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceDuringFrenchRevolution Context triple: [Le Père Duchesne, stanceDuringFrenchRevolution, pro-revolutionary]
-
A.
fateDuringFrenchRevolution
Indicates the outcome or destiny that befell an entity specifically during the period of the French Revolution.
-
B.
ownerDuringRevolution
Indicates that one entity was the owner of another entity specifically during a defined revolutionary period.
-
C.
roleDuringReignOfTerror
Indicates the specific position, function, or involvement an entity had during the historical period known as the Reign of Terror.
-
D.
stanceDuringDreyfusAffair
Indicates the position or attitude an entity took regarding the Dreyfus Affair during the period in which it unfolded.
-
E.
continuedInPostRevolutionaryFrance
Indicates that an action, practice, or relationship persisted into the period following the French Revolution in France.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:35 p.m.