Triple
T22052272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupin (TV series) |
E544913
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object |
Maurice Leblanc
Maurice Leblanc was a French writer best known as the creator of the gentleman-thief character Arsène Lupin.
|
E1516128
|
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: Maurice Leblanc | Statement: [Lupin (TV series), basedOnWorkBy, Maurice Leblanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Leblanc Context triple: [Lupin (TV series), basedOnWorkBy, Maurice Leblanc]
-
A.
Paul Féval
Paul Féval was a 19th-century French novelist best known for his popular swashbuckling and crime adventure stories.
-
B.
Léo Taxil
Léo Taxil was a 19th-century French writer and notorious hoaxer best known for his elaborate anti-Masonic and anti-Catholic frauds.
-
C.
Sax Rohmer
Sax Rohmer was a British novelist best known for creating the villainous mastermind Dr. Fu Manchu in a popular series of early 20th-century crime and adventure stories.
-
D.
Leslie Charteris
Leslie Charteris was a British-Chinese author best known for creating the adventurous crime-fighter Simon Templar, also known as "The Saint."
-
E.
Frederic Dannay
Frederic Dannay was an American mystery writer, editor, and co-creator of the Ellery Queen character and franchise, influential in shaping 20th-century detective fiction.
- 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: Maurice Leblanc Triple: [Lupin (TV series), basedOnWorkBy, Maurice Leblanc]
Generated description
Maurice Leblanc was a French writer best known as the creator of the gentleman-thief character Arsène Lupin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurice Leblanc Target entity description: Maurice Leblanc was a French writer best known as the creator of the gentleman-thief character Arsène Lupin.
-
A.
Paul Féval
Paul Féval was a 19th-century French novelist best known for his popular swashbuckling and crime adventure stories.
-
B.
Léo Taxil
Léo Taxil was a 19th-century French writer and notorious hoaxer best known for his elaborate anti-Masonic and anti-Catholic frauds.
-
C.
Sax Rohmer
Sax Rohmer was a British novelist best known for creating the villainous mastermind Dr. Fu Manchu in a popular series of early 20th-century crime and adventure stories.
-
D.
Leslie Charteris
Leslie Charteris was a British-Chinese author best known for creating the adventurous crime-fighter Simon Templar, also known as "The Saint."
-
E.
Frederic Dannay
Frederic Dannay was an American mystery writer, editor, and co-creator of the Ellery Queen character and franchise, influential in shaping 20th-century detective fiction.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7b3ccc8190a4d8728b135aa22d |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c2705e48190aebbc7b0b6221757 |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 16, 2026, 8:26 p.m.