Triple

T2069907
Position Surface form Disambiguated ID Type / Status
Subject Turner E45991 entity
Predicate hasVariant P455 FINISHED
Object Tournier
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
 E230974 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: Tournier | Statement: [Turner, hasVariant, Tournier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tournier
Context triple: [Turner, hasVariant, Tournier]
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Tourangeau
    Tourangeau is the French term for a person from the city of Tours in central France, particularly associated with the historic Touraine region.
  • C. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • 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: Tournier
Triple: [Turner, hasVariant, Tournier]
Generated description
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tournier
Target entity description: Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • A. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • B. Tourangeau
    Tourangeau is the French term for a person from the city of Tours in central France, particularly associated with the historic Touraine region.
  • C. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f677108190aea3c8db7850c892 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae27289eb081909bfbc9bf2cd14878 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28c163088190818891302f7faa8e completed March 9, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_69ae292a9d7481909acbc3a5f24ff0b9 completed March 9, 2026, 1:58 a.m.
Created at: March 4, 2026, 7:41 p.m.