Triple

T5106096
Position Surface form Disambiguated ID Type / Status
Subject Louise Sébastienne Gély E115097 entity
Predicate familyName P18 FINISHED
Object Gély
Gély is a French surname most notably borne by Louise Sébastienne Gély, the wife of revolutionary figure Georges Danton.
 E493232 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: Gély | Statement: [Louise Sébastienne Gély, familyName, Gély]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gély
Context triple: [Louise Sébastienne Gély, familyName, Gély]
  • A. Ségny
    Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
  • B. Bodrog
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • C. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • D. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • E. Rába
    Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
  • 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: Gély
Triple: [Louise Sébastienne Gély, familyName, Gély]
Generated description
Gély is a French surname most notably borne by Louise Sébastienne Gély, the wife of revolutionary figure Georges Danton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gély
Target entity description: Gély is a French surname most notably borne by Louise Sébastienne Gély, the wife of revolutionary figure Georges Danton.
  • A. Ségny
    Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
  • B. Bodrog
    Bodrog is a river in Central Europe that flows through Slovakia and Hungary before joining the Tisza River.
  • C. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • D. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • E. Rába
    Rába is a river in Central Europe that flows primarily through western Hungary and parts of Austria, eventually joining the Danube.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75a7c6748190b02b7c2b617c830f completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba9a19d881909f26b327273a95f1 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb0c54c4819089eca12aae6e7613 completed March 21, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69bebb6fd0b08190a79a42e93689186b completed March 21, 2026, 3:38 p.m.
Created at: March 20, 2026, 1:41 p.m.