Triple
T13222121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaker High |
E314779
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object |
Sheri – Anne Openshaw
Sheri–Anne Openshaw is an actress best known for her role on the Canadian teen comedy series "Breaker High."
|
E1027902
|
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: Sheri – Anne Openshaw | Statement: [Breaker High, characterPortrayedBy, Sheri – Anne Openshaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheri – Anne Openshaw Context triple: [Breaker High, characterPortrayedBy, Sheri – Anne Openshaw]
-
A.
Shirlee
Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
-
B.
Sheri Annis
Sheri Annis is a Republican political consultant and media strategist known for her work on ballot initiatives and as a conservative commentator.
-
C.
Sheryl
Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
-
D.
Sharyn
Sharyn is a feminine given name, typically considered a spelling variant of Sharon.
-
E.
Sherry Palmer (fictional)
Sherry Palmer is a central antagonist in the television series "24," known as the ambitious and manipulative ex-wife of U.S. Senator and later President David Palmer.
- 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: Sheri – Anne Openshaw Triple: [Breaker High, characterPortrayedBy, Sheri – Anne Openshaw]
Generated description
Sheri–Anne Openshaw is an actress best known for her role on the Canadian teen comedy series "Breaker High."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheri – Anne Openshaw Target entity description: Sheri–Anne Openshaw is an actress best known for her role on the Canadian teen comedy series "Breaker High."
-
A.
Shirlee
Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
-
B.
Sheri Annis
Sheri Annis is a Republican political consultant and media strategist known for her work on ballot initiatives and as a conservative commentator.
-
C.
Sheryl
Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
-
D.
Sharyn
Sharyn is a feminine given name, typically considered a spelling variant of Sharon.
-
E.
Sherry Palmer (fictional)
Sherry Palmer is a central antagonist in the television series "24," known as the ambitious and manipulative ex-wife of U.S. Senator and later President David Palmer.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:18 p.m.