Triple
T15880435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dole Food Company |
E385061
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Dole |
E818541
|
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: Dole | Statement: [Dole Food Company, brand, Dole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dole Context triple: [Dole Food Company, brand, Dole]
-
A.
Dole
Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
-
B.
Dole
Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
-
C.
Dole
chosen
Dole is a major American agricultural multinational best known for producing and marketing fresh fruits, vegetables, and packaged fruit products worldwide.
-
D.
Dole-kun
Dole-kun is the official mascot character of the Japanese professional football club Hokkaido Consadole Sapporo.
-
E.
New York Tendaberry
New York Tendaberry is a critically acclaimed 1969 studio album by singer-songwriter Laura Nyro, noted for its intense, piano-driven art pop and emotionally complex songwriting.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15600863c8190a2dbfd6d7ff495d7 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.