Triple
T10207299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jell-O |
E242231
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jell-O Jigglers |
E242231
|
NE FINISHED |
How this triple was built (2 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: Jell-O Jigglers | Statement: [Jell-O, hasVariant, Jell-O Jigglers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jell-O Jigglers Context triple: [Jell-O, hasVariant, Jell-O Jigglers]
-
A.
Jell-O
chosen
Jell-O is a popular brand of flavored gelatin desserts and related products that became a staple of American cuisine and advertising in the 20th century.
-
B.
Scotchmallow
Scotchmallow is a popular See's Candies confection featuring layers of honey marshmallow and buttery caramel enrobed in rich chocolate.
-
C.
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.
-
D.
Jellies
Jellies is a popular Monterey Bay Aquarium exhibit showcasing diverse jellyfish species in immersive, artful displays.
-
E.
Marshmallow
Marshmallow is a giant living snow monster from Disney's Frozen franchise who serves as a fearsome guardian of Elsa's ice palace.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f8e2b881909c51f8210f09cd4f |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6e73a2881908563e9e6a02df944 |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 10:55 a.m.