Triple
T16041907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Andruzzi |
E389117
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Andruzzi
Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
|
E1192758
|
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: Andruzzi | Statement: [Joe Andruzzi, familyName, Andruzzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andruzzi Context triple: [Joe Andruzzi, familyName, Andruzzi]
-
A.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
B.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
-
C.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
D.
Guarnere
Guarnere is the surname of William J. "Wild Bill" Guarnere, a famed American paratrooper of Easy Company depicted in the book and miniseries "Band of Brothers."
-
E.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
- 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: Andruzzi Triple: [Joe Andruzzi, familyName, Andruzzi]
Generated description
Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andruzzi Target entity description: Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
-
A.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
B.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
-
C.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
D.
Guarnere
Guarnere is the surname of William J. "Wild Bill" Guarnere, a famed American paratrooper of Easy Company depicted in the book and miniseries "Band of Brothers."
-
E.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1834130208190a4ed1e4292b8f2df |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe476d4488190abade3d6b4011435 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:56 a.m.