Triple
T19404777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsen |
E485423
|
entity |
| Predicate | scriptVariant |
P4680
|
FINISHED |
| Object |
Арсен
Арсен — это мужское имя, распространённое в русскоязычных и некоторых других славянских и кавказских культурах.
|
E1374204
|
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: Арсен | Statement: [Arsen, scriptVariant, Арсен]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Арсен Context triple: [Arsen, scriptVariant, Арсен]
-
A.
Arsène
Arsène is the iconic, phantom-thief–themed starting Persona of Joker in Persona 5, embodying rebellion and stylish vigilante justice.
-
B.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
-
C.
Antoine Hastoy
Antoine Hastoy is a French rugby union fly-half known for his playmaking skills in the Top 14 and appearances with the French national team.
-
D.
Rodrigue
Rodrigue is the French given name of Rod Gilbert, a famed Canadian professional ice hockey player and Hall of Famer.
-
E.
Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
- 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: Арсен Triple: [Arsen, scriptVariant, Арсен]
Generated description
Арсен — это мужское имя, распространённое в русскоязычных и некоторых других славянских и кавказских культурах.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Арсен Target entity description: Арсен — это мужское имя, распространённое в русскоязычных и некоторых других славянских и кавказских культурах.
-
A.
Arsène
Arsène is the iconic, phantom-thief–themed starting Persona of Joker in Persona 5, embodying rebellion and stylish vigilante justice.
-
B.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
-
C.
Antoine Hastoy
Antoine Hastoy is a French rugby union fly-half known for his playmaking skills in the Top 14 and appearances with the French national team.
-
D.
Rodrigue
Rodrigue is the French given name of Rod Gilbert, a famed Canadian professional ice hockey player and Hall of Famer.
-
E.
Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257a361c8190bf019fc350faa225 |
completed | April 20, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b95775481909a2d2c84ed8dac87 |
completed | May 15, 2026, 2:20 p.m. |
| NEDg | Description generation | batch_6a072ed99d608190ab6515517cac95dc |
completed | May 15, 2026, 2:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072f5364648190954997b4da8248ef |
completed | May 15, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:36 p.m.