Triple
T15201198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert Bear |
E363270
|
entity |
| Predicate | hasIllustrator |
P2761
|
FINISHED |
| Object |
Stuart Trotter
Stuart Trotter is a British illustrator best known for his work on the classic children's character Rupert Bear.
|
E1155188
|
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: Stuart Trotter | Statement: [Rupert Bear, hasIllustrator, Stuart Trotter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Trotter Context triple: [Rupert Bear, hasIllustrator, Stuart Trotter]
-
A.
Stuart Pearson
Stuart Pearson is a former English footballer best known as a prolific striker for Manchester United in the 1970s, including scoring in their 1977 FA Cup Final victory.
-
B.
Stuart Palmer
Stuart Palmer was an American mystery writer and screenwriter best known for his Hildegarde Withers detective novels and his work in Hollywood during the mid-20th century.
-
C.
Stuart Thompson
Stuart Thompson was a prominent Broadway theatre producer known for backing numerous successful plays and musicals.
-
D.
Stuart Pritchard
Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
-
E.
Stuart Browning
Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
- 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: Stuart Trotter Triple: [Rupert Bear, hasIllustrator, Stuart Trotter]
Generated description
Stuart Trotter is a British illustrator best known for his work on the classic children's character Rupert Bear.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stuart Trotter Target entity description: Stuart Trotter is a British illustrator best known for his work on the classic children's character Rupert Bear.
-
A.
Stuart Pearson
Stuart Pearson is a former English footballer best known as a prolific striker for Manchester United in the 1970s, including scoring in their 1977 FA Cup Final victory.
-
B.
Stuart Palmer
Stuart Palmer was an American mystery writer and screenwriter best known for his Hildegarde Withers detective novels and his work in Hollywood during the mid-20th century.
-
C.
Stuart Thompson
Stuart Thompson was a prominent Broadway theatre producer known for backing numerous successful plays and musicals.
-
D.
Stuart Pritchard
Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
-
E.
Stuart Browning
Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133950288190a5ffeb52ee0bac37 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff145ac8e081908b075cee67e82aa3 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1509e5a48190b69f1a44d793e07d |
completed | May 9, 2026, 11:05 a.m. |
Created at: April 10, 2026, 3:10 a.m.