Triple
T19442363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodoïska Louvet |
E486381
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Lodoïska Louvet
Lodoïska Louvet is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
|
E1375974
|
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: Lodoïska Louvet | Statement: [Lodoïska Louvet, name, Lodoïska Louvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodoïska Louvet Context triple: [Lodoïska Louvet, name, Lodoïska Louvet]
-
A.
Loulou
Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
-
B.
Lilou
Lilou is a renowned French-Algerian b-boy and world champion breakdancer known for his appearances in international dance competitions and films.
-
C.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
D.
Adolfine
Adolfine is a character in the Swedish novel "Drottningens juvelsmycke" ("The Queen's Tiara"), part of the story’s ensemble surrounding the enigmatic protagonist Tintomara.
-
E.
Dubouzet
Dubouzet is the namesake of Cape Dubouzet, a geographic feature likely honoring a historical figure such as an explorer, naval officer, or cartographer.
- 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: Lodoïska Louvet Triple: [Lodoïska Louvet, name, Lodoïska Louvet]
Generated description
Lodoïska Louvet is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lodoïska Louvet Target entity description: Lodoïska Louvet is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
A.
Loulou
Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
-
B.
Lilou
Lilou is a renowned French-Algerian b-boy and world champion breakdancer known for his appearances in international dance competitions and films.
-
C.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
D.
Adolfine
Adolfine is a character in the Swedish novel "Drottningens juvelsmycke" ("The Queen's Tiara"), part of the story’s ensemble surrounding the enigmatic protagonist Tintomara.
-
E.
Dubouzet
Dubouzet is the namesake of Cape Dubouzet, a geographic feature likely honoring a historical figure such as an explorer, naval officer, or cartographer.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63386c520819092bea5d7f259a226 |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733e38b548190ac54d7e413d97a57 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a07367765988190bc3ebe0f14450696 |
completed | May 15, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0736f33e2c8190b6e2d849e328fa03 |
completed | May 15, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.