Triple
T5977147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Malfatti |
E133026
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Malfatti
Malfatti is an Italian-origin surname notably associated with Brazilian modernist painter Anita Malfatti.
|
E558896
|
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: Malfatti | Statement: [Anita Malfatti, familyName, Malfatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malfatti Context triple: [Anita Malfatti, familyName, Malfatti]
-
A.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
B.
Menger
Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
-
C.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
D.
Morosaglia
Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
-
E.
Micalet
Micalet is the iconic Gothic bell tower of Valencia Cathedral and one of the most recognizable landmarks in the city of Valencia, Spain.
- 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: Malfatti Triple: [Anita Malfatti, familyName, Malfatti]
Generated description
Malfatti is an Italian-origin surname notably associated with Brazilian modernist painter Anita Malfatti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malfatti Target entity description: Malfatti is an Italian-origin surname notably associated with Brazilian modernist painter Anita Malfatti.
-
A.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
B.
Menger
Menger is a surname most notably associated with Austrian mathematician Karl Menger, known for his work in topology, dimension theory, and the foundations of geometry.
-
C.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
D.
Morosaglia
Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
-
E.
Micalet
Micalet is the iconic Gothic bell tower of Valencia Cathedral and one of the most recognizable landmarks in the city of Valencia, Spain.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3cffb08190a764a404a4ce5812 |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e4184a708190a9e4fe8453463a4b |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f9030f088190a6c3df60551cb65e |
completed | March 23, 2026, 8:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f9ba4ca88190b783545fbf34b69b |
completed | March 23, 2026, 8:28 a.m. |
Created at: March 22, 2026, 4:04 p.m.