Triple
T33462049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Écho de Paris |
E856944
|
entity |
| Predicate | hadEditor |
P152162
|
FINISHED |
| Object | Auguste Gauvain |
—
|
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: Auguste Gauvain | Statement: [L’Écho de Paris, hadEditor, Auguste Gauvain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadEditor Context triple: [L’Écho de Paris, hadEditor, Auguste Gauvain]
-
A.
editedIn
Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
-
B.
hasFormerEditor
Indicates that an entity previously served as the editor of another entity but no longer holds that editorial role.
-
C.
wasEditorOf
chosen
Indicates that one entity served in the role of editor for another entity, such as a publication, work, or collection.
-
D.
editedBy
Indicates that one entity has revised, modified, or otherwise made editorial changes to another entity.
-
E.
editedTo
Indicates that one entity has been modified, revised, or altered in order to become the other entity.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4d3a60881908d5bbe01c55f796b |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.