Triple
T16606019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Tinguely |
E403449
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
La Vittoria
La Vittoria is a kinetic sculpture by Swiss artist Jean Tinguely, exemplifying his playful, mechanical style of moving art.
|
E1223416
|
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: La Vittoria | Statement: [Jean Tinguely, notableWork, La Vittoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Vittoria Context triple: [Jean Tinguely, notableWork, La Vittoria]
-
A.
Vittoria
Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
-
B.
Vittoria
Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
-
C.
Fuentes d’Onor
Fuentes d’Onor was a major battle of the Peninsular War in 1811, fought between British-Portuguese and French forces near the Spanish-Portuguese border.
-
D.
Victoriei
Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
-
E.
La Greda
La Greda is a locality within the coastal commune of Puchuncaví in central Chile, known for its proximity to industrial complexes and associated environmental issues.
- 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: La Vittoria Triple: [Jean Tinguely, notableWork, La Vittoria]
Generated description
La Vittoria is a kinetic sculpture by Swiss artist Jean Tinguely, exemplifying his playful, mechanical style of moving art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Vittoria Target entity description: La Vittoria is a kinetic sculpture by Swiss artist Jean Tinguely, exemplifying his playful, mechanical style of moving art.
-
A.
Vittoria
Vittoria is a small rural locality situated within the Blayney Shire region of New South Wales, Australia.
-
B.
Vittoria
Vittoria is the Italian form of the name Victoria, commonly used as a female given name and place name in Italy.
-
C.
Fuentes d’Onor
Fuentes d’Onor was a major battle of the Peninsular War in 1811, fought between British-Portuguese and French forces near the Spanish-Portuguese border.
-
D.
Victoriei
Victoriei is a major Bucharest Metro interchange station serving as an important transit hub in Romania’s capital city.
-
E.
La Greda
La Greda is a locality within the coastal commune of Puchuncaví in central Chile, known for its proximity to industrial complexes and associated environmental issues.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36090cf388190b401c55230912104 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a8a6248190a9e2bb469d821c66 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007705f57881908b07a20ae8957c64 |
completed | May 10, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007b18f0b08190a9ddc6ad7358d6b8 |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 10, 2026, 5:17 a.m.