Triple
T3154905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco Nero |
E65960
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Carlo Gabriel Nero
Carlo Gabriel Nero is an Italian-British film director and screenwriter known for his work on independent films and for being part of a prominent acting family.
|
E331538
|
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: Carlo Gabriel Nero | Statement: [Franco Nero, child, Carlo Gabriel Nero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo Gabriel Nero Context triple: [Franco Nero, child, Carlo Gabriel Nero]
-
A.
Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
B.
Leonardo Bravo
Leonardo Bravo was a prominent insurgent leader in Mexico’s War of Independence, known for his role alongside José María Morelos in key campaigns against Spanish royalist forces.
-
C.
Riccardo
Riccardo is an Italian given name, equivalent to Richard in English.
-
D.
Bruno Forte
Bruno Forte is an Italian Roman Catholic theologian and archbishop known for his influential role in contemporary Church theology and participation in major synodal assemblies.
-
E.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
- 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: Carlo Gabriel Nero Triple: [Franco Nero, child, Carlo Gabriel Nero]
Generated description
Carlo Gabriel Nero is an Italian-British film director and screenwriter known for his work on independent films and for being part of a prominent acting family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carlo Gabriel Nero Target entity description: Carlo Gabriel Nero is an Italian-British film director and screenwriter known for his work on independent films and for being part of a prominent acting family.
-
A.
Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
B.
Leonardo Bravo
Leonardo Bravo was a prominent insurgent leader in Mexico’s War of Independence, known for his role alongside José María Morelos in key campaigns against Spanish royalist forces.
-
C.
Riccardo
Riccardo is an Italian given name, equivalent to Richard in English.
-
D.
Bruno Forte
Bruno Forte is an Italian Roman Catholic theologian and archbishop known for his influential role in contemporary Church theology and participation in major synodal assemblies.
-
E.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5e7f4688190b477186254f8a572 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b22503ba208190814ab2bfbe380c42 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225ee67c48190879edf50981641ab |
completed | March 12, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b22659f79c81908f33769dff3cc57d |
completed | March 12, 2026, 2:35 a.m. |
Created at: March 8, 2026, 3:05 p.m.