Triple
T11094501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gato Barbieri |
E262341
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Christian Barbieri
Christian Barbieri is the son of renowned Argentine jazz saxophonist and composer Gato Barbieri.
|
E918495
|
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: Christian Barbieri | Statement: [Gato Barbieri, child, Christian Barbieri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Barbieri Context triple: [Gato Barbieri, child, Christian Barbieri]
-
A.
Michelle Barbieri
Michelle Barbieri is best known as the wife and partner of the late Argentine jazz saxophonist and composer Gato Barbieri.
-
B.
Laura Barbieri
Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
-
C.
Francesca Marciano
Francesca Marciano is an Italian author and screenwriter known for her internationally acclaimed novels and short story collections that often explore cross-cultural relationships and contemporary women's lives.
-
D.
Silvia de Bondini
Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
-
E.
Cristina Moretti
Cristina Moretti is an individual notable enough to be recognized as a prominent bearer of the surname Moretti, though specific widely known public details about her are not clearly established.
- 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: Christian Barbieri Triple: [Gato Barbieri, child, Christian Barbieri]
Generated description
Christian Barbieri is the son of renowned Argentine jazz saxophonist and composer Gato Barbieri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Barbieri Target entity description: Christian Barbieri is the son of renowned Argentine jazz saxophonist and composer Gato Barbieri.
-
A.
Michelle Barbieri
Michelle Barbieri is best known as the wife and partner of the late Argentine jazz saxophonist and composer Gato Barbieri.
-
B.
Laura Barbieri
Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
-
C.
Francesca Marciano
Francesca Marciano is an Italian author and screenwriter known for her internationally acclaimed novels and short story collections that often explore cross-cultural relationships and contemporary women's lives.
-
D.
Silvia de Bondini
Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
-
E.
Cristina Moretti
Cristina Moretti is an individual notable enough to be recognized as a prominent bearer of the surname Moretti, though specific widely known public details about her are not clearly established.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0783e88190aae3d461730c2d70 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5254907348190a9652395f15b2044 |
completed | April 19, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:27 p.m.