Triple
T7734465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Mauss |
E175346
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mauss
Mauss is the surname of Marcel Mauss, the influential French sociologist and anthropologist known for his seminal work on gift exchange and social theory.
|
E684990
|
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: Mauss | Statement: [Marcel Mauss, familyName, Mauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauss Context triple: [Marcel Mauss, familyName, Mauss]
-
A.
Maatkas
Maatkas is a town and commune located in the mountainous Kabylie region of northern Algeria.
-
B.
L’Œuvre
L’Œuvre is a naturalist novel by Émile Zola that portrays the struggles of an ambitious painter in Paris whose obsessive pursuit of artistic perfection leads to personal and professional ruin.
-
C.
Mansois
Mansois is a local name for the red wine grape variety Fer Servadou, traditionally used in the wines of southwest France.
-
D.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
E.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
- 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: Mauss Triple: [Marcel Mauss, familyName, Mauss]
Generated description
Mauss is the surname of Marcel Mauss, the influential French sociologist and anthropologist known for his seminal work on gift exchange and social theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mauss Target entity description: Mauss is the surname of Marcel Mauss, the influential French sociologist and anthropologist known for his seminal work on gift exchange and social theory.
-
A.
Maatkas
Maatkas is a town and commune located in the mountainous Kabylie region of northern Algeria.
-
B.
L’Œuvre
L’Œuvre is a naturalist novel by Émile Zola that portrays the struggles of an ambitious painter in Paris whose obsessive pursuit of artistic perfection leads to personal and professional ruin.
-
C.
Mansois
Mansois is a local name for the red wine grape variety Fer Servadou, traditionally used in the wines of southwest France.
-
D.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
E.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70339c4b481909a56ae13f501e794 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b534b6588190885db4632b97775f |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b6b440dc81908c4989ed86554ddf |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b77fbd448190a7d96aada94e818d |
completed | March 29, 2026, 5:24 a.m. |
Created at: March 27, 2026, 4:06 p.m.