Triple
T19519892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Jutra |
E488375
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jutra
Jutra is a French-Canadian surname most notably associated with influential Quebec film director Claude Jutra.
|
E1379800
|
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: Jutra | Statement: [Claude Jutra, familyName, Jutra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jutra Context triple: [Claude Jutra, familyName, Jutra]
-
A.
Nivala
Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
-
B.
Elta
Elta is the main sorcerer hero of the classic Neo Geo side-scrolling action game Magician Lord, known for battling evil forces using powerful magic and transformative abilities.
-
C.
Viktorka
Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
-
D.
Tramelan
Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
-
E.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
- 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: Jutra Triple: [Claude Jutra, familyName, Jutra]
Generated description
Jutra is a French-Canadian surname most notably associated with influential Quebec film director Claude Jutra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jutra Target entity description: Jutra is a French-Canadian surname most notably associated with influential Quebec film director Claude Jutra.
-
A.
Nivala
Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
-
B.
Elta
Elta is the main sorcerer hero of the classic Neo Geo side-scrolling action game Magician Lord, known for battling evil forces using powerful magic and transformative abilities.
-
C.
Viktorka
Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
-
D.
Tramelan
Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
-
E.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074728f7548190a6a8e1888e8c8180 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07483465008190966296ddca76e7d2 |
completed | May 15, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074931b1dc8190804d545e2058a69a |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.