Triple
T7036460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Louis Alphonse Laveran |
E163396
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Laveran
Laveran is the surname of Charles Louis Alphonse Laveran, the French physician and Nobel laureate who discovered the parasite responsible for malaria.
|
E637286
|
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: Laveran | Statement: [Charles Louis Alphonse Laveran, familyName, Laveran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laveran Context triple: [Charles Louis Alphonse Laveran, familyName, Laveran]
-
A.
Reville
Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
-
B.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
C.
Iéna
Iéna is a Paris Métro station in the 16th arrondissement, located near landmarks such as the Palais de Tokyo and the Trocadéro.
-
D.
La Praille
La Praille is an urban district in the municipality of Lancy, near Geneva, known for its commercial centers, stadium, and mixed-use developments.
-
E.
Makouda
Makouda is a town and commune located in northern Algeria within the Kabylie region.
- 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: Laveran Triple: [Charles Louis Alphonse Laveran, familyName, Laveran]
Generated description
Laveran is the surname of Charles Louis Alphonse Laveran, the French physician and Nobel laureate who discovered the parasite responsible for malaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laveran Target entity description: Laveran is the surname of Charles Louis Alphonse Laveran, the French physician and Nobel laureate who discovered the parasite responsible for malaria.
-
A.
Reville
Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
-
B.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
C.
Iéna
Iéna is a Paris Métro station in the 16th arrondissement, located near landmarks such as the Palais de Tokyo and the Trocadéro.
-
D.
La Praille
La Praille is an urban district in the municipality of Lancy, near Geneva, known for its commercial centers, stadium, and mixed-use developments.
-
E.
Makouda
Makouda is a town and commune located in northern Algeria within the Kabylie region.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e220508c8190b8950cf38280b8c2 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775a211f88190afe5ed466abcac7a |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c779c064548190bc17a399723f85e7 |
completed | March 28, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77a79e76c8190a42fe57ffc1dc23c |
completed | March 28, 2026, 6:51 a.m. |
Created at: March 27, 2026, 2:36 p.m.