Triple

T17476245
Position Surface form Disambiguated ID Type / Status
Subject Théâtre Jean-Duceppe E425544 entity
Predicate namedAfter P63 FINISHED
Object Jean Duceppe
Jean Duceppe was a prominent Canadian actor and cultural figure from Quebec, renowned for his work in theatre and film.
E1272272 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: Jean Duceppe | Statement: [Théâtre Jean-Duceppe, namedAfter, Jean Duceppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Duceppe
Context triple: [Théâtre Jean-Duceppe, namedAfter, Jean Duceppe]
  • A. Jean‑Paul Lévesque
    Jean‑Paul Lévesque is a retired professional wrestler and influential WWE executive best known by his ring name Triple H.
  • B. Jacques Laperrière
    Jacques Laperrière is a former Canadian ice hockey defenceman best known for his Hall of Fame career with the Montreal Canadiens in the 1960s and 1970s.
  • C. Michel Caron
    Michel Caron is a French-Canadian politician who served as a member of the National Assembly of Quebec.
  • D. Pierre Dion
    Pierre Dion is a Canadian media executive best known for serving as president and CEO of Quebecor Media.
  • E. Adélard Godbout
    Adélard Godbout was a Canadian agronomist and Liberal politician who served as Premier of Quebec from 1939 to 1944, noted for major reforms including granting women the right to vote provincially.
  • 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: Jean Duceppe
Triple: [Théâtre Jean-Duceppe, namedAfter, Jean Duceppe]
Generated description
Jean Duceppe was a prominent Canadian actor and cultural figure from Quebec, renowned for his work in theatre and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean Duceppe
Target entity description: Jean Duceppe was a prominent Canadian actor and cultural figure from Quebec, renowned for his work in theatre and film.
  • A. Jean‑Paul Lévesque
    Jean‑Paul Lévesque is a retired professional wrestler and influential WWE executive best known by his ring name Triple H.
  • B. Jacques Laperrière
    Jacques Laperrière is a former Canadian ice hockey defenceman best known for his Hall of Fame career with the Montreal Canadiens in the 1960s and 1970s.
  • C. Michel Caron
    Michel Caron is a French-Canadian politician who served as a member of the National Assembly of Quebec.
  • D. Pierre Dion
    Pierre Dion is a Canadian media executive best known for serving as president and CEO of Quebecor Media.
  • E. Adélard Godbout
    Adélard Godbout was a Canadian agronomist and Liberal politician who served as Premier of Quebec from 1939 to 1944, noted for major reforms including granting women the right to vote provincially.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bc3f908190b2c7a2d1f75a43f2 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c1f896e4819082bff944b80e76cd completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3a2393c81909b2137d94d522ca7 completed May 11, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_6a01c459b2b48190ba00d53c4477f54e completed May 11, 2026, 11:58 a.m.
Created at: April 10, 2026, 5:47 a.m.