Triple
T9113475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Pohlad |
E218661
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Food, Inc. |
E236047
|
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: Food, Inc. | Statement: [Bill Pohlad, produced, Food, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food, Inc. Context triple: [Bill Pohlad, produced, Food, Inc.]
-
A.
Food, Inc.
chosen
Food, Inc. is a 2008 documentary film that critically examines the industrialized food system in the United States and its impacts on health, the environment, and workers.
-
B.
Faces of Hunger
Faces of Hunger is a philosophical work by Onora O’Neill that examines global poverty, famine, and our ethical obligations to alleviate hunger.
-
C.
American Maid
American Maid is a skilled, patriotic superheroine and one of the primary crime-fighting allies of the Tick in the satirical comic and animated series "The Tick."
-
D.
The Food
"The Food" is a song, notably by rapper Common featuring Kanye West, known for its soulful production and socially conscious lyrics.
-
E.
Fed Up
Fed Up is a 2014 documentary film that investigates the role of the food industry and government policy in driving the obesity and diabetes epidemics in the United States.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0305eb6e081908edba0ddab25e209 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.