Triple
T27371240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis-Jérôme Gohier |
E690325
|
entity |
| Predicate | wasOpposedTo |
P437
|
FINISHED |
| Object | Coup of 18 Brumaire |
E4770
|
NE 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: Coup of 18 Brumaire | Statement: [Louis-Jérôme Gohier, wasOpposedTo, Coup of 18 Brumaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOpposedTo Context triple: [Louis-Jérôme Gohier, wasOpposedTo, Coup of 18 Brumaire]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
ledAgainst
Indicates that one entity directed or commanded an opposing effort, campaign, or force against another entity.
-
C.
facedOpposition
Indicates that an entity encountered resistance, disagreement, or active pushback from others regarding its actions, decisions, or existence.
-
D.
designedToOppose
Indicates that one entity is intentionally created or configured to counteract, resist, or work against another entity or process.
-
E.
historicallyOpposedBy
Indicates that one entity has been the target of opposition, resistance, or antagonism from another entity over a historical period.
- F. None of above.
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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62c620cac8190ad616f4f0920c445 |
completed | May 2, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12b234e7e481909e07c20ba5daef96 |
completed | May 24, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:19 p.m.