Triple
T12016107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchetti |
E286029
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gianni Marchetti
Gianni Marchetti was an Italian composer best known for his film scores, particularly in the 1960s and 1970s.
|
E976115
|
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: Gianni Marchetti | Statement: [Marchetti, hasNotableBearer, Gianni Marchetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gianni Marchetti Context triple: [Marchetti, hasNotableBearer, Gianni Marchetti]
-
A.
Maurizio Lombardi
Maurizio Lombardi is an Italian actor known for his work in film and television, particularly in acclaimed European productions.
-
B.
Gianfranco Franchini
Gianfranco Franchini was an Italian architect best known as one of the co-designers of Paris’s iconic Centre Pompidou.
-
C.
Gianpiero Marchetti
Gianpiero Marchetti is an Italian former professional footballer known for playing as a defender in Serie A during the late 1960s and 1970s.
-
D.
Maurizio Marchetti
Maurizio Marchetti is an Italian politician known for his roles in regional and national political institutions.
-
E.
Enrico Nicola Mancini
Enrico Nicola Mancini, better known as Henry Mancini, was an American composer, conductor, and arranger renowned for his iconic film and television scores such as "The Pink Panther" and "Moon River."
- 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: Gianni Marchetti Triple: [Marchetti, hasNotableBearer, Gianni Marchetti]
Generated description
Gianni Marchetti was an Italian composer best known for his film scores, particularly in the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gianni Marchetti Target entity description: Gianni Marchetti was an Italian composer best known for his film scores, particularly in the 1960s and 1970s.
-
A.
Maurizio Lombardi
Maurizio Lombardi is an Italian actor known for his work in film and television, particularly in acclaimed European productions.
-
B.
Gianfranco Franchini
Gianfranco Franchini was an Italian architect best known as one of the co-designers of Paris’s iconic Centre Pompidou.
-
C.
Gianpiero Marchetti
Gianpiero Marchetti is an Italian former professional footballer known for playing as a defender in Serie A during the late 1960s and 1970s.
-
D.
Maurizio Marchetti
Maurizio Marchetti is an Italian politician known for his roles in regional and national political institutions.
-
E.
Enrico Nicola Mancini
Enrico Nicola Mancini, better known as Henry Mancini, was an American composer, conductor, and arranger renowned for his iconic film and television scores such as "The Pink Panther" and "Moon River."
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d9b17881908894be80d7c1b64e |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3af3cc8190b2a0e3531713aca5 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f620759f348190baa9af5b33d4e37f |
completed | May 2, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f624bf23948190b182e4c31564d210 |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 8, 2026, 9:47 p.m.