Triple
T13705651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippety Hopper |
E328633
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object |
Bell Hoppy
Bell Hoppy is a Looney Tunes animated short featuring the baby kangaroo character Hippety Hopper in a comedic misadventure.
|
E1054926
|
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: Bell Hoppy | Statement: [Hippety Hopper, appearsIn, Bell Hoppy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Hoppy Context triple: [Hippety Hopper, appearsIn, Bell Hoppy]
-
A.
Popo
Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
-
B.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
C.
Bunny Bravo
Bunny Bravo is Johnny Bravo’s caring and long-suffering mother in the animated television series "Johnny Bravo."
-
D.
Hopp
Hopp is a German surname most prominently associated with billionaire software entrepreneur and SAP co-founder Dietmar Hopp.
-
E.
Hop
Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
- 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: Bell Hoppy Triple: [Hippety Hopper, appearsIn, Bell Hoppy]
Generated description
Bell Hoppy is a Looney Tunes animated short featuring the baby kangaroo character Hippety Hopper in a comedic misadventure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bell Hoppy Target entity description: Bell Hoppy is a Looney Tunes animated short featuring the baby kangaroo character Hippety Hopper in a comedic misadventure.
-
A.
Popo
Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
-
B.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
C.
Bunny Bravo
Bunny Bravo is Johnny Bravo’s caring and long-suffering mother in the animated television series "Johnny Bravo."
-
D.
Hopp
Hopp is a German surname most prominently associated with billionaire software entrepreneur and SAP co-founder Dietmar Hopp.
-
E.
Hop
Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796df515c819080a95621a8308629 |
completed | May 3, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:54 p.m.