Triple

T7914402
Position Surface form Disambiguated ID Type / Status
Subject Julien E183782 entity
Predicate hasVariant P455 FINISHED
Object Julienn
Julienn is a given name, likely a modern or stylistic variant of the name Julien.
E696843 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: Julienn | Statement: [Julien, hasVariant, Julienn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julienn
Context triple: [Julien, hasVariant, Julienn]
  • A. Roux
    Roux is a French surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • B. Roux
    Roux is a residential neighborhood located within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • C. Jœuf
    Jœuf is a small commune in northeastern France best known as the birthplace of legendary footballer Michel Platini.
  • D. Ficulle
    Ficulle is a small historic hill town in central Italy’s Umbria region, known for its medieval architecture and scenic countryside.
  • E. Ceci
    Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
  • 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: Julienn
Triple: [Julien, hasVariant, Julienn]
Generated description
Julienn is a given name, likely a modern or stylistic variant of the name Julien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julienn
Target entity description: Julienn is a given name, likely a modern or stylistic variant of the name Julien.
  • A. Roux
    Roux is a French surname borne by numerous notable figures, including scientists, artists, and public personalities.
  • B. Roux
    Roux is a residential neighborhood located within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • C. Jœuf
    Jœuf is a small commune in northeastern France best known as the birthplace of legendary footballer Michel Platini.
  • D. Ficulle
    Ficulle is a small historic hill town in central Italy’s Umbria region, known for its medieval architecture and scenic countryside.
  • E. Ceci
    Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdfb8d0819089cf1268df61bcdc completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.