Triple
T3228706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Arquette |
E67684
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Enzo Rossi
Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
|
E366630
|
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: Enzo Rossi | Statement: [Patricia Arquette, child, Enzo Rossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enzo Rossi Context triple: [Patricia Arquette, child, Enzo Rossi]
-
A.
Alessandro Martini
Alessandro Martini was a 19th-century Italian entrepreneur best known as a co-founder of the Martini & Rossi vermouth and sparkling wine brand.
-
B.
Bruno Martini
Bruno Martini is a Brazilian DJ, record producer, and musician known for his electronic dance music hits and international collaborations.
-
C.
Stefano Martini
Stefano Martini is an individual notable enough to be recognized as a significant bearer of the Martini surname.
-
D.
Umberto Martini
Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
-
E.
Alberto Colombo
Alberto Colombo was an Italian-born American film composer and music director known for scoring numerous Hollywood films during the 1930s and 1940s.
- 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: Enzo Rossi Triple: [Patricia Arquette, child, Enzo Rossi]
Generated description
Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enzo Rossi Target entity description: Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
-
A.
Alessandro Martini
Alessandro Martini was a 19th-century Italian entrepreneur best known as a co-founder of the Martini & Rossi vermouth and sparkling wine brand.
-
B.
Bruno Martini
Bruno Martini is a Brazilian DJ, record producer, and musician known for his electronic dance music hits and international collaborations.
-
C.
Stefano Martini
Stefano Martini is an individual notable enough to be recognized as a significant bearer of the Martini surname.
-
D.
Umberto Martini
Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
-
E.
Alberto Colombo
Alberto Colombo was an Italian-born American film composer and music director known for scoring numerous Hollywood films during the 1930s and 1940s.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb6f8588190a33a9d6c779e8992 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38babb044819098f887ac4fb0bab2 |
completed | March 13, 2026, 3:59 a.m. |
| NEDg | Description generation | batch_69b38c9f4a088190873eeb5cd06597ea |
completed | March 13, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38ceb64b881908e2ba9a129ff4cc9 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:08 p.m.