Triple
T15201186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert Bear |
E363270
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object |
Mr Bear
Mr Bear is a fictional anthropomorphic bear character who appears as Rupert Bear’s father in the long-running British children’s comic and stories.
|
E1144252
|
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 Bear | Statement: [Rupert Bear, hasParent, Mr Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr Bear Context triple: [Rupert Bear, hasParent, Mr Bear]
-
A.
Ben the bear
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
B.
Joe Bear
Joe Bear is the costumed bear mascot that represents Lenoir–Rhyne University at its athletic events and campus activities.
-
C.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
D.
Bart the Bear
Bart the Bear was a famous trained Kodiak bear actor known for his prominent roles in Hollywood films and television.
-
E.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
- 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 Bear Triple: [Rupert Bear, hasParent, Mr Bear]
Generated description
Mr Bear is a fictional anthropomorphic bear character who appears as Rupert Bear’s father in the long-running British children’s comic and stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr Bear Target entity description: Mr Bear is a fictional anthropomorphic bear character who appears as Rupert Bear’s father in the long-running British children’s comic and stories.
-
A.
Ben the bear
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
B.
Joe Bear
Joe Bear is the costumed bear mascot that represents Lenoir–Rhyne University at its athletic events and campus activities.
-
C.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
D.
Bart the Bear
Bart the Bear was a famous trained Kodiak bear actor known for his prominent roles in Hollywood films and television.
-
E.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
- 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_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed76d6a888190b44efa490df4b6d0 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feda443c64819087cb16ce742e7cc5 |
completed | May 9, 2026, 6:55 a.m. |
Created at: April 10, 2026, 3:10 a.m.