Triple
T1486787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mansueto |
E29482
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mansueto
Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
|
E169805
|
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: Mansueto | Statement: [Joe Mansueto, familyName, Mansueto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mansueto Context triple: [Joe Mansueto, familyName, Mansueto]
-
A.
Bertrando
Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
-
B.
Maffeo
Maffeo is the given name of Pope Urban VIII, the 17th-century head of the Catholic Church known for his patronage of the arts and involvement in the Galileo affair.
-
C.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
-
D.
Coluccio
Coluccio is an Italian masculine given name most notably borne by the early Renaissance humanist and chancellor Coluccio Salutati.
-
E.
Galluzzo
Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
- 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: Mansueto Triple: [Joe Mansueto, familyName, Mansueto]
Generated description
Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mansueto Target entity description: Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
-
A.
Bertrando
Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
-
B.
Maffeo
Maffeo is the given name of Pope Urban VIII, the 17th-century head of the Catholic Church known for his patronage of the arts and involvement in the Galileo affair.
-
C.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
-
D.
Coluccio
Coluccio is an Italian masculine given name most notably borne by the early Renaissance humanist and chancellor Coluccio Salutati.
-
E.
Galluzzo
Galluzzo is a suburban district in the southern part of Florence, Italy, known for its residential character and proximity to historic sites such as the Certosa di Firenze.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b5aa348190bf6d7a3177eacaff |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad192ac37c819081aa4bb32e3564d8 |
completed | March 8, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad19ab136081909c52731e346f2efb |
completed | March 8, 2026, 6:39 a.m. |
Created at: March 1, 2026, 8:12 p.m.