Triple

T18430286
Position Surface form Disambiguated ID Type / Status
Subject Ghislaine E450249 entity
Predicate hasSpellingVariant P457 FINISHED
Object Ghislain
Ghislain is a given name of French origin, used for both males and females and derived from the medieval name Ghislaine.
E1323173 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: Ghislain | Statement: [Ghislaine, hasSpellingVariant, Ghislain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghislain
Context triple: [Ghislaine, hasSpellingVariant, Ghislain]
  • A. Gilles
    Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
  • B. Gauthier Lud
    Gauthier Lud was a notable French humanist and scholar from Saint-Dié-des-Vosges, active in the early 16th century and associated with the Vosges humanist circle.
  • C. Tremblay
    Tremblay is a common French-Canadian surname, particularly prevalent in Quebec and associated with numerous public figures in sports, politics, and the arts.
  • D. Mahieu
    Mahieu is a surname of likely French or Belgian origin borne by individuals such as Hester Mahieu.
  • E. Guillaume Laforge
    Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
  • 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: Ghislain
Triple: [Ghislaine, hasSpellingVariant, Ghislain]
Generated description
Ghislain is a given name of French origin, used for both males and females and derived from the medieval name Ghislaine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ghislain
Target entity description: Ghislain is a given name of French origin, used for both males and females and derived from the medieval name Ghislaine.
  • A. Gilles
    Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
  • B. Gauthier Lud
    Gauthier Lud was a notable French humanist and scholar from Saint-Dié-des-Vosges, active in the early 16th century and associated with the Vosges humanist circle.
  • C. Tremblay
    Tremblay is a common French-Canadian surname, particularly prevalent in Quebec and associated with numerous public figures in sports, politics, and the arts.
  • D. Mahieu
    Mahieu is a surname of likely French or Belgian origin borne by individuals such as Hester Mahieu.
  • E. Guillaume Laforge
    Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b16b9c881908245c888a4b785bf completed April 19, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0adb1bc8190bcc31dbf8af17435 completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f1caafbc81908c214e13d2cc79ae completed May 13, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_6a03f24041b4819087f11ad189ae467a completed May 13, 2026, 3:38 a.m.
Created at: April 10, 2026, 11:26 a.m.