Triple
T1467080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Moreau |
E27048
|
entity |
| Predicate | helped |
P1853
|
FINISHED |
| Object | Napoleon Bonaparte seize power in France |
—
|
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: Napoleon Bonaparte seize power in France | Statement: [Jean Moreau, helped, Napoleon Bonaparte seize power in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helped Context triple: [Jean Moreau, helped, Napoleon Bonaparte seize power in France]
-
A.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding of another entity.
-
B.
helpedEscape
Indicates that one entity assisted another in getting away from confinement, danger, or pursuit.
-
C.
helpedLaunch
Indicates that one entity played a significant role in initiating, starting, or bringing another entity (such as a project, product, or organization) into operation or public release.
-
D.
have
Indicates that one entity possesses, owns, or contains another entity or attribute.
-
E.
support
chosen
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5bcfa0881909d6137c69825bc7a |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.