Triple
T10683432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellogg Company |
E251813
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Eggo |
E486702
|
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: Eggo | Statement: [Kellogg Company, brand, Eggo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggo Context triple: [Kellogg Company, brand, Eggo]
-
A.
Eggo waffles
chosen
Eggo waffles are a popular brand of frozen, ready-to-toast waffles known for their convenience and association with American breakfast culture.
-
B.
L’eggs
L’eggs is a well-known American hosiery brand, famous for its pantyhose once sold in distinctive egg-shaped containers.
-
C.
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
-
D.
Donuts
Donuts is a highly influential 2006 instrumental hip-hop album by producer J Dilla, celebrated for its innovative sampling, emotional depth, and lasting impact on beat-making and underground hip-hop.
-
E.
Chips Ahoy!
Chips Ahoy! is a popular mass-produced chocolate chip cookie brand known for its crunchy texture and wide availability in supermarkets.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc43b9481908f35490db93db76c |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.