Triple
T15246538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinz |
E364396
|
entity |
| Predicate | brandFeature |
P14764
|
FINISHED |
| Object | 57 Varieties |
E1145619
|
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: 57 Varieties | Statement: [Heinz, brandFeature, 57 Varieties]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 57 Varieties Context triple: [Heinz, brandFeature, 57 Varieties]
-
A.
57 Varieties
chosen
57 Varieties is the famous marketing slogan used by the H. J. Heinz Company to promote its wide range of food products.
-
B.
The Big Cheese
"The Big Cheese" is a track by the experimental rock band Uncommon Ritual, likely showcasing their distinctive, genre-blending musical style.
-
C.
Razzamatazz
Razzamatazz is a cocktail ingredient or component drink commonly associated with the Kamikaze cocktail.
-
D.
Blansky's Beauties
Blansky's Beauties is a short-lived 1970s American sitcom set in Las Vegas that followed a showbiz talent agent and her troupe of showgirls, created as a spin-off from Happy Days.
-
E.
The Glamour Boys
The Glamour Boys is the popular nickname of South African football club Kaizer Chiefs F.C., renowned for its stylish play and large, passionate fan base.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f184d481909eb4294ee3648226 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.