Triple
T21632778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Père Duchesne |
E533875
|
entity |
| Predicate | stanceOnCounterRevolutionaries |
P145322
|
FINISHED |
| Object | hostile |
—
|
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: hostile | Statement: [Le Père Duchesne, stanceOnCounterRevolutionaries, hostile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnCounterRevolutionaries Context triple: [Le Père Duchesne, stanceOnCounterRevolutionaries, hostile]
-
A.
stanceOnAuthority
Indicates an entity’s attitude, position, or level of support or opposition toward authority or authoritative control.
-
B.
stanceOnArmedStruggle
Indicates a subject’s position or attitude toward the use of armed struggle as a method of pursuing goals or resolving conflicts.
-
C.
accusesOfTyranny
Indicates that one entity asserts or charges that another entity is acting in a tyrannical or oppressive manner.
-
D.
continuedInPostRevolutionaryFrance
Indicates that an action, practice, or relationship persisted into the period following the French Revolution in France.
-
E.
mainAntiMonarchyForce
Indicates that the subject is the primary group or actor opposing or working to overthrow a monarchical system.
- 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.