Triple

T33462049
Position Surface form Disambiguated ID Type / Status
Subject L’Écho de Paris E856944 entity
Predicate hadEditor P152162 FINISHED
Object Auguste Gauvain
Auguste Gauvain was a French journalist and editor best known for his influential role in shaping the political and cultural content of the newspaper L’Écho de Paris.
 E2051906 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Auguste Gauvain
Triple: [L’Écho de Paris, hadEditor, Auguste Gauvain]
Generated description
Auguste Gauvain was a French journalist and editor best known for his influential role in shaping the political and cultural content of the newspaper L’Écho de Paris.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a35816b90308190b6069202fff94902 completed June 19, 2026, 5:50 p.m.
NEDg Description generation batch_6a358244dccc8190b6375ada70bf7247 completed June 19, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a3582f3203081909181daf41c575a0f completed June 19, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69f6e3da41948190a4cfe866ce184f73 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:37 a.m.