Triple
T13264142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Berkley |
E315872
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berkley
Berkley is a surname most notably associated with American actress Elizabeth Berkley, known for her roles in "Saved by the Bell" and "Showgirls."
|
E1031150
|
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: Berkley | Statement: [Elizabeth Berkley, familyName, Berkley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkley Context triple: [Elizabeth Berkley, familyName, Berkley]
-
A.
Berkley
Berkley is a small rural town in Bristol County, Massachusetts, known for its quiet residential character and proximity to the Taunton River.
-
B.
Berkley, Michigan
Berkley, Michigan is a small suburban city in Oakland County known for its tree-lined neighborhoods, family-friendly community, and proximity to Detroit.
-
C.
Berkley, Massachusetts
Berkley, Massachusetts is a small rural town in southeastern Massachusetts known for its quiet residential character and location along the Taunton River.
-
D.
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
E.
Everett
Everett is a city in Middlesex County, Massachusetts, located just north of Boston and known for its industrial history and urban residential character.
- 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: Berkley Triple: [Elizabeth Berkley, familyName, Berkley]
Generated description
Berkley is a surname most notably associated with American actress Elizabeth Berkley, known for her roles in "Saved by the Bell" and "Showgirls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berkley Target entity description: Berkley is a surname most notably associated with American actress Elizabeth Berkley, known for her roles in "Saved by the Bell" and "Showgirls."
-
A.
Berkley
Berkley is a small rural town in Bristol County, Massachusetts, known for its quiet residential character and proximity to the Taunton River.
-
B.
Berkley, Michigan
Berkley, Michigan is a small suburban city in Oakland County known for its tree-lined neighborhoods, family-friendly community, and proximity to Detroit.
-
C.
Berkley, Massachusetts
Berkley, Massachusetts is a small rural town in southeastern Massachusetts known for its quiet residential character and location along the Taunton River.
-
D.
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
-
E.
Everett
Everett is a city in Middlesex County, Massachusetts, located just north of Boston and known for its industrial history and urban residential character.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4ad79c8190b1304942dc48c0ff |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b37ebe081909ed2ae0f42ccad2d |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:25 p.m.