Triple

T3707181
Position Surface form Disambiguated ID Type / Status
Subject Agnès Sorel E80920 entity
Predicate givenName P17 FINISHED
Object Agnès
Agnès is a feminine given name of French origin, historically borne by notable figures such as Agnès Sorel.
 E271602 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: Agnès | Statement: [Agnès Sorel, givenName, Agnès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agnès
Context triple: [Agnès Sorel, givenName, Agnès]
  • A. Clara Beranger
    Clara Beranger was an American screenwriter of the silent film era, known for her work with Paramount Pictures and her contributions to early Hollywood cinema.
  • B. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • C. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • D. Agnès de La Borde
    Agnès de La Borde was the wife of French diplomat and Suez Canal developer Ferdinand de Lesseps, known primarily through her marriage into his prominent family.
  • E. Thérèse Desqueyroux
    Thérèse Desqueyroux is a French drama film adaptation of François Mauriac’s novel, centered on a woman trapped in a stifling bourgeois marriage in 1920s provincial France.
  • 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: Agnès
Triple: [Agnès Sorel, givenName, Agnès]
Generated description
Agnès is a feminine given name of French origin, historically borne by notable figures such as Agnès Sorel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agnès
Target entity description: Agnès is a feminine given name of French origin, historically borne by notable figures such as Agnès Sorel.
  • A. Clara Beranger
    Clara Beranger was an American screenwriter of the silent film era, known for her work with Paramount Pictures and her contributions to early Hollywood cinema.
  • B. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • C. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • D. Agnès de La Borde chosen
    Agnès de La Borde was the wife of French diplomat and Suez Canal developer Ferdinand de Lesseps, known primarily through her marriage into his prominent family.
  • E. Thérèse Desqueyroux
    Thérèse Desqueyroux is a French drama film adaptation of François Mauriac’s novel, centered on a woman trapped in a stifling bourgeois marriage in 1920s provincial France.
  • F. None of above.

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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc57edd748190a006e15fa0248679 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0216bc8190b44d2950b7cb24c3 completed March 14, 2026, 2:54 a.m.
NEDg Description generation batch_69b4d1c2a384819090520b42574d6db5 completed March 14, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69b4d272436081909ace50a69524c672 completed March 14, 2026, 3:13 a.m.
Created at: March 8, 2026, 3:33 p.m.