Triple
T13507591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mexican |
E321052
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
John Baldecchi
John Baldecchi is a film producer best known for his work on major Hollywood features, including the crime comedy "The Mexican."
|
E1073169
|
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: John Baldecchi | Statement: [The Mexican, producer, John Baldecchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Baldecchi Context triple: [The Mexican, producer, John Baldecchi]
-
A.
Lorenzo Baldisseri
Lorenzo Baldisseri is an Italian cardinal of the Roman Catholic Church who served as Secretary General of the Synod of Bishops under Pope Francis.
-
B.
Baccio Pontelli
Baccio Pontelli was an Italian Renaissance architect and woodcarver active in late 15th-century Rome, known for contributing to major papal building projects.
-
C.
Giorgio Fois
Giorgio Fois is an Italian figure best known as the founder of the professional football club Cagliari Calcio.
-
D.
Leonardo Silvestri
Leonardo Silvestri is an individual notable enough to be recognized as a prominent bearer of the Italian surname Silvestri.
-
E.
Antonio Quercia
Antonio Quercia is a Chilean cinematographer known for his work on genre films, including Eli Roth’s horror movie "The Green Inferno."
- 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: John Baldecchi Triple: [The Mexican, producer, John Baldecchi]
Generated description
John Baldecchi is a film producer best known for his work on major Hollywood features, including the crime comedy "The Mexican."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Baldecchi Target entity description: John Baldecchi is a film producer best known for his work on major Hollywood features, including the crime comedy "The Mexican."
-
A.
Lorenzo Baldisseri
Lorenzo Baldisseri is an Italian cardinal of the Roman Catholic Church who served as Secretary General of the Synod of Bishops under Pope Francis.
-
B.
Baccio Pontelli
Baccio Pontelli was an Italian Renaissance architect and woodcarver active in late 15th-century Rome, known for contributing to major papal building projects.
-
C.
Giorgio Fois
Giorgio Fois is an Italian figure best known as the founder of the professional football club Cagliari Calcio.
-
D.
Leonardo Silvestri
Leonardo Silvestri is an individual notable enough to be recognized as a prominent bearer of the Italian surname Silvestri.
-
E.
Antonio Quercia
Antonio Quercia is a Chilean cinematographer known for his work on genre films, including Eli Roth’s horror movie "The Green Inferno."
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac78104881909ea8d41cfb8d4574 |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbae186bb881908ea17ae6b12825af |
completed | May 6, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaebaab508190a609fa151c686a0d |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 9, 2026, 9:43 p.m.