Triple
T13222104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaker High |
E314779
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Sheri
Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
|
E1027892
|
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 | Statement: [Breaker High, hasMainCharacter, Sheri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheri Context triple: [Breaker High, hasMainCharacter, Sheri]
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
C.
Shere
Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
-
D.
Shere
Shere is a locality within Nigeria’s Federal Capital Territory, situated under the administration of Bwari Area Council near Abuja.
-
E.
Rosalie
Rosalie is the given first name of American actress and model Andie MacDowell.
- 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 Triple: [Breaker High, hasMainCharacter, Sheri]
Generated description
Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheri Target entity description: Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
C.
Shere
Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
-
D.
Shere
Shere is a locality within Nigeria’s Federal Capital Territory, situated under the administration of Bwari Area Council near Abuja.
-
E.
Rosalie
Rosalie is the given first name of American actress and model Andie MacDowell.
- 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.