Triple

T16357811
Position Surface form Disambiguated ID Type / Status
Subject Action Française E397230 entity
Predicate foundedBy P104 FINISHED
Object Henri Vaugeois
Henri Vaugeois was a French nationalist intellectual and political activist best known as a co-founder and leading ideologue of the far-right monarchist movement Action Française in the early 20th century.
E1599133 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: Henri Vaugeois | Statement: [Action Française, foundedBy, Henri Vaugeois]
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: Henri Vaugeois
Triple: [Action Française, foundedBy, Henri Vaugeois]
Generated description
Henri Vaugeois was a French nationalist intellectual and political activist best known as a co-founder and leading ideologue of the far-right monarchist movement Action Française in the early 20th century.

Provenance (5 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad0b1948190a66ec7d2a310cc83 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f536597188190bc3d8548b817bbc3 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f5558f50c8190a268fbcde798512e completed May 21, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f56691aa08190b46a9ad2c3dce1d0 completed May 21, 2026, 7 p.m.
Created at: April 10, 2026, 5:07 a.m.