Triple
T30301958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Rappel |
E770673
|
entity |
| Predicate | opposedPoliticalFigure |
P74162
|
FINISHED |
| Object | Napoleon III |
—
|
NE NERFINISHED |
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: Napoleon III | Statement: [Le Rappel, opposedPoliticalFigure, Napoleon III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedPoliticalFigure Context triple: [Le Rappel, opposedPoliticalFigure, Napoleon III]
-
A.
opposedLeader
Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
-
B.
mainOpposingPolitician
Indicates that one politician is the primary political rival or adversary of another.
-
C.
politicalRivalOf
chosen
Indicates a relationship in which two political actors or groups compete against or oppose each other for power, influence, or office.
-
D.
opposedPoliticalEntity
Indicates that one political entity is in opposition or conflict with another in terms of policies, ideology, or power.
-
E.
opposedPartyNomineeOf
Indicates that one entity is the official nominee of a party that is in opposition to another specified party or candidate.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 29, 2026, 7:49 p.m.