Triple
T12171227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Berbick |
E289970
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berbick
Berbick is the surname of Trevor Berbick, a Jamaican-born heavyweight boxer best known for being the last man to fight and lose the world title to Muhammad Ali.
|
E967197
|
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: Berbick | Statement: [Trevor Berbick, familyName, Berbick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berbick Context triple: [Trevor Berbick, familyName, Berbick]
-
A.
Banton
Banton is a small island municipality in the province of Romblon in the Philippines, known for its rugged terrain, historic church, and preserved indigenous culture.
-
B.
Sangster
Sangster is the surname of English actor Thomas Brodie-Sangster, known for roles in films like "Love Actually" and series such as "Game of Thrones" and "The Queen's Gambit."
-
C.
Gonsalves
Gonsalves is a Portuguese-origin surname commonly found in Lusophone and Caribbean communities.
-
D.
Deveraux
Deveraux is a French-origin surname commonly associated with various real and fictional individuals.
-
E.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
- 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: Berbick Triple: [Trevor Berbick, familyName, Berbick]
Generated description
Berbick is the surname of Trevor Berbick, a Jamaican-born heavyweight boxer best known for being the last man to fight and lose the world title to Muhammad Ali.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berbick Target entity description: Berbick is the surname of Trevor Berbick, a Jamaican-born heavyweight boxer best known for being the last man to fight and lose the world title to Muhammad Ali.
-
A.
Banton
Banton is a small island municipality in the province of Romblon in the Philippines, known for its rugged terrain, historic church, and preserved indigenous culture.
-
B.
Sangster
Sangster is the surname of English actor Thomas Brodie-Sangster, known for roles in films like "Love Actually" and series such as "Game of Thrones" and "The Queen's Gambit."
-
C.
Gonsalves
Gonsalves is a Portuguese-origin surname commonly found in Lusophone and Caribbean communities.
-
D.
Deveraux
Deveraux is a French-origin surname commonly associated with various real and fictional individuals.
-
E.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f603b639208190a284fcd7e88e9d54 |
completed | May 2, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60491eaec8190a16472fd37740ea0 |
completed | May 2, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.