Triple
T13456981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonny Bono |
E311260
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Chesare Elan Bono
Chesare Elan Bono is the son of the late American singer, songwriter, and politician Sonny Bono.
|
E1041239
|
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: Chesare Elan Bono | Statement: [Sonny Bono, child, Chesare Elan Bono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chesare Elan Bono Context triple: [Sonny Bono, child, Chesare Elan Bono]
-
A.
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.
-
B.
Julii Sabini
Julii Sabini is a branch of the ancient Roman Julii family, likely representing a specific lineage or subgroup within this prominent patrician gens.
-
C.
Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
D.
Ciro
Ciro is a masculine given name of Italian and Spanish origin, often used in various countries around the world.
-
E.
Paolo Caccia Dominioni
Paolo Caccia Dominioni was an Italian army officer, engineer, and writer best known for his postwar work identifying the fallen and designing the memorial complex at El Alamein.
- 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: Chesare Elan Bono Triple: [Sonny Bono, child, Chesare Elan Bono]
Generated description
Chesare Elan Bono is the son of the late American singer, songwriter, and politician Sonny Bono.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chesare Elan Bono Target entity description: Chesare Elan Bono is the son of the late American singer, songwriter, and politician Sonny Bono.
-
A.
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.
-
B.
Julii Sabini
Julii Sabini is a branch of the ancient Roman Julii family, likely representing a specific lineage or subgroup within this prominent patrician gens.
-
C.
Luciano
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
D.
Ciro
Ciro is a masculine given name of Italian and Spanish origin, often used in various countries around the world.
-
E.
Paolo Caccia Dominioni
Paolo Caccia Dominioni was an Italian army officer, engineer, and writer best known for his postwar work identifying the fallen and designing the memorial complex at El Alamein.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b3074bc819081e30b082857c33e |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ee5839881908ce75c57f1942b57 |
completed | May 3, 2026, 12:26 p.m. |
Created at: April 9, 2026, 9:41 p.m.