Triple
T15953428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Monte Foods |
E386872
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Del Monte |
E386872
|
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: Del Monte | Statement: [Del Monte Foods, brand, Del Monte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Del Monte Context triple: [Del Monte Foods, brand, Del Monte]
-
A.
Del Monte Foods
chosen
Del Monte Foods is a major American food production and distribution company best known for its canned fruits, vegetables, and other packaged food products sold worldwide.
-
B.
del Monte
Del Monte is an Italian noble family name historically associated with figures such as mathematician and astronomer Guidobaldo del Monte.
-
C.
Pacific Foods
Pacific Foods is a natural and organic food brand known for its soups, broths, and plant-based beverages.
-
D.
Dole Food Company
Dole Food Company is a major American agricultural multinational best known as one of the world’s largest producers and marketers of fresh fruits and vegetables.
-
E.
Beatrice Foods
Beatrice Foods was a major American food processing and distribution company that became widely known for its involvement in the Woburn, Massachusetts toxic waste contamination case depicted in the book and film "A Civil Action."
- 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_69ffbe7ab070819090232efdeecdd5fb |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.