Triple
T13458302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | René Viviani |
E311291
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Viviani
Viviani is a French surname most notably associated with René Viviani, a prominent early 20th-century French politician and Prime Minister.
|
E1041301
|
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: Viviani | Statement: [René Viviani, familyName, Viviani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viviani Context triple: [René Viviani, familyName, Viviani]
-
A.
Venus Felix
Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
-
B.
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.
-
C.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
D.
Roemer
Roemer is a surname most notably associated with Timothy J. Roemer, an American politician and former U.S. ambassador.
-
E.
Ponti
Ponti is an Italian surname most famously associated with Gio Ponti, the influential 20th-century architect and designer.
- 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: Viviani Triple: [René Viviani, familyName, Viviani]
Generated description
Viviani is a French surname most notably associated with René Viviani, a prominent early 20th-century French politician and Prime Minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viviani Target entity description: Viviani is a French surname most notably associated with René Viviani, a prominent early 20th-century French politician and Prime Minister.
-
A.
Venus Felix
Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
-
B.
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.
-
C.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
D.
Roemer
Roemer is a surname most notably associated with Timothy J. Roemer, an American politician and former U.S. ambassador.
-
E.
Ponti
Ponti is an Italian surname most famously associated with Gio Ponti, the influential 20th-century architect and designer.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b3074bc819081e30b082857c33e |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ee5839881908ce75c57f1942b57 |
completed | May 3, 2026, 12:26 p.m. |
Created at: April 9, 2026, 9:41 p.m.