Triple

T10931921
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Courtot E258227 entity
Predicate familyName P18 FINISHED
Object Courtot
Courtot is a French surname borne by various individuals, including the early 20th-century American silent film actress Marguerite Courtot.
 E893642 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: Courtot | Statement: [Marguerite Courtot, familyName, Courtot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Courtot
Context triple: [Marguerite Courtot, familyName, Courtot]
  • A. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • B. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • C. Couthon
    Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
  • D. Giraud
    Giraud is a French surname borne by various notable figures in French history and culture.
  • E. Le Gosier
    Le Gosier is a coastal commune and popular tourist resort town on the island of Grande-Terre in Guadeloupe, known for its beaches, marinas, and vibrant nightlife.
  • 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: Courtot
Triple: [Marguerite Courtot, familyName, Courtot]
Generated description
Courtot is a French surname borne by various individuals, including the early 20th-century American silent film actress Marguerite Courtot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Courtot
Target entity description: Courtot is a French surname borne by various individuals, including the early 20th-century American silent film actress Marguerite Courtot.
  • A. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • B. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • C. Couthon
    Couthon is a French surname most notably associated with Georges Couthon, a prominent revolutionary figure during the French Revolution.
  • D. Giraud
    Giraud is a French surname borne by various notable figures in French history and culture.
  • E. Le Gosier
    Le Gosier is a coastal commune and popular tourist resort town on the island of Grande-Terre in Guadeloupe, known for its beaches, marinas, and vibrant nightlife.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2176328448190bbce6735ec97507a completed April 17, 2026, 11:20 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:23 p.m.