Triple

T2561794
Position Surface form Disambiguated ID Type / Status
Subject Sebastian E57255 entity
Predicate hasVariant P455 FINISHED
Object Sébastien
Sébastien is the French form of the given name Sebastian, commonly used in French-speaking countries.
 E278395 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: Sébastien | Statement: [Sebastian, hasVariant, Sébastien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sébastien
Context triple: [Sebastian, hasVariant, Sébastien]
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • B. Virage Chatillon
    Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
  • C. Lucas Secon
    Lucas Secon is a Danish-American record producer, songwriter, and artist known for his work across pop and hip-hop with acts such as The Pussycat Dolls, Kylie Minogue, and Christina Aguilera.
  • D. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • E. Gabriel Leveque
    Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
  • 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: Sébastien
Triple: [Sebastian, hasVariant, Sébastien]
Generated description
Sébastien is the French form of the given name Sebastian, commonly used in French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sébastien
Target entity description: Sébastien is the French form of the given name Sebastian, commonly used in French-speaking countries.
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • B. Virage Chatillon
    Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
  • C. Lucas Secon
    Lucas Secon is a Danish-American record producer, songwriter, and artist known for his work across pop and hip-hop with acts such as The Pussycat Dolls, Kylie Minogue, and Christina Aguilera.
  • D. Stéphane
    Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
  • E. Gabriel Leveque
    Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd336183c819084ed7de8ccc4c548 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d264db481908e9dc3b5e2e8260a completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af5dc7ef4c81908581716c07dcae47 completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e69ac3481908f48ad0efcd13767 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.