Triple
T22185000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Crime de Monsieur Lange |
E548270
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Marcel Lévesque
Marcel Lévesque was a French actor known for his prolific work in early 20th-century French cinema, particularly in silent and early sound films.
|
E1522989
|
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: Marcel Lévesque | Statement: [Le Crime de Monsieur Lange, castMember, Marcel Lévesque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcel Lévesque Context triple: [Le Crime de Monsieur Lange, castMember, Marcel Lévesque]
-
A.
J.-Louis Lévesque
J.-Louis Lévesque was a prominent Canadian businessman and philanthropist from Quebec, known for his influential role in finance, media, and horse racing.
-
B.
Nérée Duplessis
Nérée Duplessis was a Quebec notary and politician who served as a member of the Legislative Assembly of Quebec in the early 20th century.
-
C.
Jean Duceppe
Jean Duceppe was a prominent Canadian actor and cultural figure from Quebec, renowned for his work in theatre and film.
-
D.
Jean‑Paul Lévesque
Jean‑Paul Lévesque is a retired professional wrestler and influential WWE executive best known by his ring name Triple H.
-
E.
Pierre Dion
Pierre Dion is a Canadian media executive best known for serving as president and CEO of Quebecor Media.
- 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: Marcel Lévesque Triple: [Le Crime de Monsieur Lange, castMember, Marcel Lévesque]
Generated description
Marcel Lévesque was a French actor known for his prolific work in early 20th-century French cinema, particularly in silent and early sound films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcel Lévesque Target entity description: Marcel Lévesque was a French actor known for his prolific work in early 20th-century French cinema, particularly in silent and early sound films.
-
A.
J.-Louis Lévesque
J.-Louis Lévesque was a prominent Canadian businessman and philanthropist from Quebec, known for his influential role in finance, media, and horse racing.
-
B.
Nérée Duplessis
Nérée Duplessis was a Quebec notary and politician who served as a member of the Legislative Assembly of Quebec in the early 20th century.
-
C.
Jean Duceppe
Jean Duceppe was a prominent Canadian actor and cultural figure from Quebec, renowned for his work in theatre and film.
-
D.
Jean‑Paul Lévesque
Jean‑Paul Lévesque is a retired professional wrestler and influential WWE executive best known by his ring name Triple H.
-
E.
Pierre Dion
Pierre Dion is a Canadian media executive best known for serving as president and CEO of Quebecor Media.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa823888190829368de6db4aa91 |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ecfd0908190938f604f19417e93 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9f5a0a2c8190b0a8a4c56938cc02 |
completed | May 18, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa01988b481909fe3bf966feb5916 |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 8:35 p.m.