Triple
T5312180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tale of Mr. Jeremy Fisher |
E119055
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object |
Mr. Jeremy Fisher
Mr. Jeremy Fisher is a frog character from Beatrix Potter’s children’s stories, known for his ill-fated but charming fishing adventures.
|
E510298
|
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: Mr. Jeremy Fisher | Statement: [The Tale of Mr. Jeremy Fisher, hasTitleCharacter, Mr. Jeremy Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Jeremy Fisher Context triple: [The Tale of Mr. Jeremy Fisher, hasTitleCharacter, Mr. Jeremy Fisher]
-
A.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
B.
Douglas Guilfoyle
Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
-
C.
Charles Harris
Charles Harris was a notable figure in Georgia’s early history, honored as the namesake of Harris County.
-
D.
Paul Givan
Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
-
E.
Gerry Fisher
Gerry Fisher was a British cinematographer known for his atmospheric visual style on numerous films from the 1960s through the 1990s.
- 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: Mr. Jeremy Fisher Triple: [The Tale of Mr. Jeremy Fisher, hasTitleCharacter, Mr. Jeremy Fisher]
Generated description
Mr. Jeremy Fisher is a frog character from Beatrix Potter’s children’s stories, known for his ill-fated but charming fishing adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Jeremy Fisher Target entity description: Mr. Jeremy Fisher is a frog character from Beatrix Potter’s children’s stories, known for his ill-fated but charming fishing adventures.
-
A.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
B.
Douglas Guilfoyle
Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
-
C.
Charles Harris
Charles Harris was a notable figure in Georgia’s early history, honored as the namesake of Harris County.
-
D.
Paul Givan
Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
-
E.
Gerry Fisher
Gerry Fisher was a British cinematographer known for his atmospheric visual style on numerous films from the 1960s through the 1990s.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8535a1ec819094b2c5d3cfc57f56 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1106ef9c8190811f7b70e784c962 |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11a601c481908a8cb6ea2c04d6df |
completed | March 21, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf127799208190a47580ed7b9ad550 |
completed | March 21, 2026, 9:49 p.m. |
Created at: March 20, 2026, 1:54 p.m.