Triple
T16019652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masson |
E388565
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Sophie Masson
Sophie Masson is a French-Australian author best known for her prolific work in children's, young adult, and fantasy literature.
|
E1192641
|
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: Sophie Masson | Statement: [Masson, hasNotableBearer, Sophie Masson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Masson Context triple: [Masson, hasNotableBearer, Sophie Masson]
-
A.
Sophie Mau
Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
-
B.
Sophie Labbé
Sophie Labbé is a renowned French perfumer known for creating numerous successful fragrances for major international luxury brands.
-
C.
Sophie Mas
Sophie Mas is a film producer known for her work on acclaimed independent and international films, including the drama "May December."
-
D.
Sophie Roy
Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
-
E.
Sophie Aubry
Sophie Aubry is an actress known for her role in the 1995 British mystery drama film "Innocent Lies."
- 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: Sophie Masson Triple: [Masson, hasNotableBearer, Sophie Masson]
Generated description
Sophie Masson is a French-Australian author best known for her prolific work in children's, young adult, and fantasy literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Masson Target entity description: Sophie Masson is a French-Australian author best known for her prolific work in children's, young adult, and fantasy literature.
-
A.
Sophie Mau
Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
-
B.
Sophie Labbé
Sophie Labbé is a renowned French perfumer known for creating numerous successful fragrances for major international luxury brands.
-
C.
Sophie Mas
Sophie Mas is a film producer known for her work on acclaimed independent and international films, including the drama "May December."
-
D.
Sophie Roy
Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
-
E.
Sophie Aubry
Sophie Aubry is an actress known for her role in the 1995 British mystery drama film "Innocent Lies."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183222e4c81909a3ab51446b671bd |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47280448190923a36e9a41ce7bc |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe517c8f081908a1275d0adf3053d |
completed | May 10, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe572be388190bb492b6f554ec808 |
completed | May 10, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:55 a.m.