Triple

T14218587
Position Surface form Disambiguated ID Type / Status
Subject Republic of Doyle E352425 entity
Predicate starring P1507 FINISHED
Object Marthe Bernard
Marthe Bernard is a Canadian actress best known for her role on the television series "Republic of Doyle."
E1090064 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: Marthe Bernard | Statement: [Republic of Doyle, starring, Marthe Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marthe Bernard
Context triple: [Republic of Doyle, starring, Marthe Bernard]
  • A. Marthe
    Marthe is a feminine given name, commonly used in French and other European languages, that is a variant of the name Martha.
  • B. Marthe Keller
    Marthe Keller is a Swiss actress and former opera director known for her international film career, including prominent roles in 1970s Hollywood thrillers and European cinema.
  • C. Marthe Poncin
    Marthe Poncin was a film editor known for her work on French cinema, including editing the classic film "Hôtel du Nord."
  • D. Séraphine Louis
    Séraphine Louis was a French self-taught painter renowned for her richly colored, mystical floral compositions that became emblematic of Naïve art.
  • E. Marie-Berthe Aurenche
    Marie-Berthe Aurenche was a French artist and writer associated with the Surrealist movement and known for her marriage to painter Max Ernst.
  • 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: Marthe Bernard
Triple: [Republic of Doyle, starring, Marthe Bernard]
Generated description
Marthe Bernard is a Canadian actress best known for her role on the television series "Republic of Doyle."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marthe Bernard
Target entity description: Marthe Bernard is a Canadian actress best known for her role on the television series "Republic of Doyle."
  • A. Marthe
    Marthe is a feminine given name, commonly used in French and other European languages, that is a variant of the name Martha.
  • B. Marthe Keller
    Marthe Keller is a Swiss actress and former opera director known for her international film career, including prominent roles in 1970s Hollywood thrillers and European cinema.
  • C. Marthe Poncin
    Marthe Poncin was a film editor known for her work on French cinema, including editing the classic film "Hôtel du Nord."
  • D. Séraphine Louis
    Séraphine Louis was a French self-taught painter renowned for her richly colored, mystical floral compositions that became emblematic of Naïve art.
  • E. Marie-Berthe Aurenche
    Marie-Berthe Aurenche was a French artist and writer associated with the Surrealist movement and known for her marriage to painter Max Ernst.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324d66a48190b58f6ce3a7c7facc completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd36ce463c8190adb2f17d3770910b completed May 8, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd372189748190bc44aae93cc0e4df completed May 8, 2026, 1:06 a.m.
Created at: April 10, 2026, 1:06 a.m.