Triple
T2470641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanna-Barbera |
E55363
|
entity |
| Predicate | createdCharacter |
P2004
|
FINISHED |
| Object |
Boo-Boo Bear
Boo-Boo Bear is a gentle, bow-tie-wearing cartoon bear best known as Yogi Bear’s loyal sidekick in the classic Hanna-Barbera animated series.
|
E269739
|
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: Boo-Boo Bear | Statement: [Hanna-Barbera, createdCharacter, Boo-Boo Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boo-Boo Bear Context triple: [Hanna-Barbera, createdCharacter, Boo-Boo Bear]
-
A.
Boo Hoo the Bear
Boo Hoo the Bear is the costumed mascot representing Queen's University at Kingston, symbolizing school spirit and supporting the university’s athletic teams and events.
-
B.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
-
C.
Teddy Bears
Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
D.
Tim the Bear
Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
-
E.
Gadzooks the Bear
Gadzooks the Bear is a gruff but ultimately soft-hearted bear character from the Rankin/Bass stop-motion Easter special "The Easter Bunny Is Comin' to Town."
- 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: Boo-Boo Bear Triple: [Hanna-Barbera, createdCharacter, Boo-Boo Bear]
Generated description
Boo-Boo Bear is a gentle, bow-tie-wearing cartoon bear best known as Yogi Bear’s loyal sidekick in the classic Hanna-Barbera animated series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boo-Boo Bear Target entity description: Boo-Boo Bear is a gentle, bow-tie-wearing cartoon bear best known as Yogi Bear’s loyal sidekick in the classic Hanna-Barbera animated series.
-
A.
Boo Hoo the Bear
Boo Hoo the Bear is the costumed mascot representing Queen's University at Kingston, symbolizing school spirit and supporting the university’s athletic teams and events.
-
B.
Mellie the Bear
Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
-
C.
Teddy Bears
Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
D.
Tim the Bear
Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
-
E.
Gadzooks the Bear
Gadzooks the Bear is a gruff but ultimately soft-hearted bear character from the Rankin/Bass stop-motion Easter special "The Easter Bunny Is Comin' to Town."
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd136f5388190801d0b9dc66ad36f |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17a29c2c8190b9e7b49d086ad9d5 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af183b63848190ac62869b1fdb672c |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18fc1a0c8190aeb24f304cbba35b |
completed | March 9, 2026, 7:01 p.m. |
Created at: March 6, 2026, 9:44 p.m.