Triple

T2044652
Position Surface form Disambiguated ID Type / Status
Subject Charles-François Lebrun E45422 entity
Predicate familyName P18 FINISHED
Object Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
 E227737 NE FINISHED

How this triple was built (4 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: Lebrun | Statement: [Charles-François Lebrun, familyName, Lebrun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lebrun
Context triple: [Charles-François Lebrun, familyName, Lebrun]
  • A. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • B. Erwan
    Erwan is a Breton given name, closely related to the name Erwin, commonly used in Brittany and French-speaking regions.
  • C. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • D. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • E. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lebrun
Triple: [Charles-François Lebrun, familyName, Lebrun]
Generated description
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lebrun
Target entity description: Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • A. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • B. Erwan
    Erwan is a Breton given name, closely related to the name Erwin, commonly used in Brittany and French-speaking regions.
  • C. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • D. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • E. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • F. None of above. chosen

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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae205137448190b9a1f035f9f27828 completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae20d2e2c08190a708053329587c5d completed March 9, 2026, 1:22 a.m.
Created at: March 4, 2026, 7:39 p.m.