Triple
T14472081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée Magnin |
E358869
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Maurice Magnin
Maurice Magnin was a French art collector and civil servant whose personal collection formed the basis of the Musée Magnin in Dijon.
|
E1100245
|
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 Magnin | Statement: [Musée Magnin, foundedBy, Maurice Magnin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Magnin Context triple: [Musée Magnin, foundedBy, Maurice Magnin]
-
A.
Ludovic Magnin
Ludovic Magnin is a retired Swiss footballer and current coach, best known for his time as a left-back with clubs like Werder Bremen and the Swiss national team.
-
B.
Henri Bendel
Henri Bendel was a historic New York City–based luxury specialty retailer known for its fashionable handbags, accessories, and signature brown-and-white striped branding.
-
C.
Henri Marchand
Henri Marchand was an actor known for appearing in the French film "Fanfare of Love."
-
D.
J. C. Stearns
J. C. Stearns was one of the contributing authors to the influential Franck Report on the implications of nuclear weapons during the Manhattan Project era.
-
E.
R. H. Macy
R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
- 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 Magnin Triple: [Musée Magnin, foundedBy, Maurice Magnin]
Generated description
Maurice Magnin was a French art collector and civil servant whose personal collection formed the basis of the Musée Magnin in Dijon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurice Magnin Target entity description: Maurice Magnin was a French art collector and civil servant whose personal collection formed the basis of the Musée Magnin in Dijon.
-
A.
Ludovic Magnin
Ludovic Magnin is a retired Swiss footballer and current coach, best known for his time as a left-back with clubs like Werder Bremen and the Swiss national team.
-
B.
Henri Bendel
Henri Bendel was a historic New York City–based luxury specialty retailer known for its fashionable handbags, accessories, and signature brown-and-white striped branding.
-
C.
Henri Marchand
Henri Marchand was an actor known for appearing in the French film "Fanfare of Love."
-
D.
J. C. Stearns
J. C. Stearns was one of the contributing authors to the influential Franck Report on the implications of nuclear weapons during the Manhattan Project era.
-
E.
R. H. Macy
R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fab21c819090b6e209d8efba6e |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649e103c81908001b45c16d1fd79 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd658f2c1c8190b6a564dbe75fc2f2 |
completed | May 8, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd661c201c8190ba8ce1295849e8c1 |
completed | May 8, 2026, 4:27 a.m. |
Created at: April 10, 2026, 1:20 a.m.