Triple
T3989523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Victrix (Canova) |
E86953
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Venus Victrix
Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
|
E403951
|
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: Venus Victrix | Statement: [Venus Victrix (Canova), title, Venus Victrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venus Victrix Context triple: [Venus Victrix (Canova), title, Venus Victrix]
-
A.
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
-
B.
VenusFort
VenusFort was a Venice-themed shopping and entertainment mall in Tokyo’s Odaiba district, known for its faux European streetscape and outlet stores.
-
C.
Deva Victrix
Deva Victrix was the major Roman legionary fortress and settlement that later developed into the modern English city of Chester.
-
D.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
E.
Veii
Veii was a major ancient Etruscan city in central Italy, known for its wealth, strategic importance, and eventual conquest by Rome in 396 BCE.
- 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: Venus Victrix Triple: [Venus Victrix (Canova), title, Venus Victrix]
Generated description
Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venus Victrix Target entity description: Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
-
A.
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
-
B.
VenusFort
VenusFort was a Venice-themed shopping and entertainment mall in Tokyo’s Odaiba district, known for its faux European streetscape and outlet stores.
-
C.
Deva Victrix
Deva Victrix was the major Roman legionary fortress and settlement that later developed into the modern English city of Chester.
-
D.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
E.
Veii
Veii was a major ancient Etruscan city in central Italy, known for its wealth, strategic importance, and eventual conquest by Rome in 396 BCE.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa01bf3c8190a6fb3bba65186ae6 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403235408190b47b8d4f4e21d094 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b540c5ab7881908b7ebb0af2f9da46 |
completed | March 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5415e002881908343ae30b2f8a16c |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:33 p.m.