Triple
T654329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcello Truzzi |
E11613
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Truzzi
Truzzi is the surname of Marcello Truzzi, a noted sociologist and co-founder of the Committee for the Scientific Investigation of Claims of the Paranormal (CSICOP).
|
E83183
|
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: Truzzi | Statement: [Marcello Truzzi, familyName, Truzzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truzzi Context triple: [Marcello Truzzi, familyName, Truzzi]
-
A.
Nutmegger
Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
-
B.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
C.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Tozzer
Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
- 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: Truzzi Triple: [Marcello Truzzi, familyName, Truzzi]
Generated description
Truzzi is the surname of Marcello Truzzi, a noted sociologist and co-founder of the Committee for the Scientific Investigation of Claims of the Paranormal (CSICOP).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Truzzi Target entity description: Truzzi is the surname of Marcello Truzzi, a noted sociologist and co-founder of the Committee for the Scientific Investigation of Claims of the Paranormal (CSICOP).
-
A.
Nutmegger
Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
-
B.
Mvezo
Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
-
C.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Tozzer
Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4bb5b881908a18b5ec1c94e0cf |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3925a14819093336c4217c7e893 |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c423047c8190acab387bd28ffa35 |
completed | March 2, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cd1dd7848190a987276500040a4f |
completed | March 2, 2026, 5:47 p.m. |
Created at: March 1, 2026, 7:36 p.m.