Triple
T15953463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Monte Foods |
E386872
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Kraft Heinz |
E849445
|
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: Kraft Heinz | Statement: [Del Monte Foods, hasCompetitor, Kraft Heinz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraft Heinz Context triple: [Del Monte Foods, hasCompetitor, Kraft Heinz]
-
A.
Kraft Heinz
chosen
Kraft Heinz is a major American multinational food and beverage company known for its wide portfolio of iconic packaged brands.
-
B.
Kraft Foods
Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
-
C.
Kraft Group
Kraft Group is a privately held American conglomerate best known for its ownership of major New England sports franchises and extensive interests in paper, packaging, real estate, and private equity.
-
D.
Campbell Soup Company
Campbell Soup Company is a major American food manufacturer best known for its canned soups and iconic red-and-white branding.
-
E.
General Mills
General Mills is a major American multinational food company known for producing popular brands of cereals, snacks, and packaged foods.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f810148190ab4989a0e4a5f8c0 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf16b1b881909768d18b889260da |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:53 a.m.