Triple
T15915919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art of Shaving |
E385968
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Myriam Zaoui
Myriam Zaoui is an entrepreneur best known as a co-founder of the luxury grooming brand The Art of Shaving.
|
E1182332
|
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: Myriam Zaoui | Statement: [The Art of Shaving, foundedBy, Myriam Zaoui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myriam Zaoui Context triple: [The Art of Shaving, foundedBy, Myriam Zaoui]
-
A.
Najla Bouden
Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
-
B.
Nadia Bouzidi
Nadia Bouzidi is a French local politician serving as the mayor of the commune of Châtillon.
-
C.
Mariem Meziani
Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
-
D.
Myriam L'Aouffir
Myriam L'Aouffir is a Moroccan-French communications professional and media executive known for her work in digital strategy and her marriage to former IMF chief Dominique Strauss-Kahn.
-
E.
Vanessa Zaoui
Vanessa Zaoui is an actress best known for her leading role in the 1992 Holocaust-themed drama film "Alan & Naomi."
- 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: Myriam Zaoui Triple: [The Art of Shaving, foundedBy, Myriam Zaoui]
Generated description
Myriam Zaoui is an entrepreneur best known as a co-founder of the luxury grooming brand The Art of Shaving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myriam Zaoui Target entity description: Myriam Zaoui is an entrepreneur best known as a co-founder of the luxury grooming brand The Art of Shaving.
-
A.
Najla Bouden
Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
-
B.
Nadia Bouzidi
Nadia Bouzidi is a French local politician serving as the mayor of the commune of Châtillon.
-
C.
Mariem Meziani
Mariem Meziani is a Belgian politician who serves as the mayor of the municipality of Forest in the Brussels-Capital Region.
-
D.
Myriam L'Aouffir
Myriam L'Aouffir is a Moroccan-French communications professional and media executive known for her work in digital strategy and her marriage to former IMF chief Dominique Strauss-Kahn.
-
E.
Vanessa Zaoui
Vanessa Zaoui is an actress best known for her leading role in the 1992 Holocaust-themed drama film "Alan & Naomi."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15662e2c481909e3582be01f05d08 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05b15e8819083b67afa52f46283 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0cfac808190b32bb25659603fb4 |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb15b987c8190ae9c96f15fc55b27 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.