Triple

T1167709
Position Surface form Disambiguated ID Type / Status
Subject Julian E24836 entity
Predicate relatedName P3889 FINISHED
Object Julien
Julien is a given name of French origin commonly used for males in various Francophone and European countries.
 E183782 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: Julien | Statement: [Julian, relatedName, Julien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Julien
Context triple: [Julian, relatedName, Julien]
  • A. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • B. Donatien
    Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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: Julien
Triple: [Julian, relatedName, Julien]
Generated description
Julien is a given name of French origin commonly used for males in various Francophone and European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Julien
Target entity description: Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • A. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • B. Donatien
    Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccef84481908864e819884af86c completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58a2448c81909cb30e1a4400e1f3 completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad59d1f8e081908be6ff543c4f1be7 completed March 8, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ad5a40bbbc819094910d0edf73be9f completed March 8, 2026, 11:15 a.m.
Created at: March 1, 2026, 7:45 p.m.