Triple
T19697407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herschel Bernardi |
E472996
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bernardi
Bernardi is a surname of Italian origin borne by various notable individuals in fields such as acting, politics, and sports.
|
E1391481
|
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: Bernardi | Statement: [Herschel Bernardi, familyName, Bernardi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernardi Context triple: [Herschel Bernardi, familyName, Bernardi]
-
A.
Bertinelli
Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
-
B.
Bernardini
Bernardini was a champion American Thoroughbred racehorse and influential sire known for winning the 2006 Preakness Stakes and producing numerous top-class offspring.
-
C.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
D.
Bertrando
Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
-
E.
Bianchini
Bianchini is an Italian surname borne by various notable figures in fields such as science, arts, and sports.
- 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: Bernardi Triple: [Herschel Bernardi, familyName, Bernardi]
Generated description
Bernardi is a surname of Italian origin borne by various notable individuals in fields such as acting, politics, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernardi Target entity description: Bernardi is a surname of Italian origin borne by various notable individuals in fields such as acting, politics, and sports.
-
A.
Bertinelli
Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
-
B.
Bernardini
Bernardini was a champion American Thoroughbred racehorse and influential sire known for winning the 2006 Preakness Stakes and producing numerous top-class offspring.
-
C.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
D.
Bertrando
Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
-
E.
Bianchini
Bianchini is an Italian surname borne by various notable figures in fields such as science, arts, and sports.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b2baec81909ee2cd6ead632836 |
completed | April 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab94a8b481908a6610765401d1fa |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07ac51fddc8190840698fb5cee0ea0 |
completed | May 15, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ae6493608190b8bc885ab8a916b2 |
completed | May 15, 2026, 11:38 p.m. |
Created at: April 10, 2026, 1:46 p.m.