Triple
T5192590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honeydukes |
E117191
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Jelly Slugs
Jelly Slugs are a popular slug-shaped wizarding sweet sold at Honeydukes in the Harry Potter universe.
|
E502244
|
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: Jelly Slugs | Statement: [Honeydukes, knownFor, Jelly Slugs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jelly Slugs Context triple: [Honeydukes, knownFor, Jelly Slugs]
-
A.
Jellies
Jellies is a popular Monterey Bay Aquarium exhibit showcasing diverse jellyfish species in immersive, artful displays.
-
B.
Banana Slugs
Banana Slugs is the distinctive and unconventional mascot and sports nickname of the University of California, Santa Cruz, celebrated for its quirky, non-aggressive image.
-
C.
The Sponge
"The Sponge" is a memorable Seinfeld episode centered on Elaine Benes hoarding her favorite discontinued contraceptive sponges and rigorously judging whether potential partners are "sponge-worthy."
-
D.
Jellyfish
Jellyfish is an American power pop band known for its lush harmonies, Beatlesque songwriting, and cult following in the early 1990s.
-
E.
Jelly
Jelly is a now-defunct Q&A and search app that let users get answers by sending questions, often with images, to a network of people.
- 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: Jelly Slugs Triple: [Honeydukes, knownFor, Jelly Slugs]
Generated description
Jelly Slugs are a popular slug-shaped wizarding sweet sold at Honeydukes in the Harry Potter universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jelly Slugs Target entity description: Jelly Slugs are a popular slug-shaped wizarding sweet sold at Honeydukes in the Harry Potter universe.
-
A.
Jellies
Jellies is a popular Monterey Bay Aquarium exhibit showcasing diverse jellyfish species in immersive, artful displays.
-
B.
Banana Slugs
Banana Slugs is the distinctive and unconventional mascot and sports nickname of the University of California, Santa Cruz, celebrated for its quirky, non-aggressive image.
-
C.
The Sponge
"The Sponge" is a memorable Seinfeld episode centered on Elaine Benes hoarding her favorite discontinued contraceptive sponges and rigorously judging whether potential partners are "sponge-worthy."
-
D.
Jellyfish
Jellyfish is an American power pop band known for its lush harmonies, Beatlesque songwriting, and cult following in the early 1990s.
-
E.
Jelly
Jelly is a now-defunct Q&A and search app that let users get answers by sending questions, often with images, to a network of people.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0943ce48190838aff0cfd12c655 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5fc0c408190b4ad4b77e0045182 |
completed | March 21, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6b954c08190a353ebcfe829888a |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.