Triple
T3180254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veniero d'Annunzio |
E66566
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Veniero
Veniero is an Italian masculine given name, historically associated with figures from Italian cultural and literary circles.
|
E333155
|
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: Veniero | Statement: [Veniero d'Annunzio, givenName, Veniero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veniero Context triple: [Veniero d'Annunzio, givenName, Veniero]
-
A.
Velia Titta
Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
-
B.
Venini
Venini is a renowned Italian glassmaking company based in Murano, celebrated for its innovative and artistic blown-glass designs.
-
C.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
D.
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.
-
E.
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
- 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: Veniero Triple: [Veniero d'Annunzio, givenName, Veniero]
Generated description
Veniero is an Italian masculine given name, historically associated with figures from Italian cultural and literary circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veniero Target entity description: Veniero is an Italian masculine given name, historically associated with figures from Italian cultural and literary circles.
-
A.
Velia Titta
Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
-
B.
Venini
Venini is a renowned Italian glassmaking company based in Murano, celebrated for its innovative and artistic blown-glass designs.
-
C.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
D.
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.
-
E.
Venusia
Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69f2d108190847922795e7b6687 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235fd1688819080fa1d73d2b233ba |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b236e61ae88190a76b942c6cddff41 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23770ed4c8190b5d929cc95a286a0 |
completed | March 12, 2026, 3:48 a.m. |
Created at: March 8, 2026, 3:06 p.m.