Triple

T7493403
Position Surface form Disambiguated ID Type / Status
Subject Participant Media E177062 entity
Predicate notableWork P4 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: [Participant Media, notableWork, Food, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Food, Inc.
Context triple: [Participant Media, notableWork, 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. The Food
    "The Food" is a song, notably by rapper Common featuring Kanye West, known for its soulful production and socially conscious lyrics.
  • D. Dietland
    Dietland is a darkly comedic drama television series that explores themes of body image, feminism, and revenge within the beauty and media industries.
  • E. American Factory
    American Factory is a 2019 documentary film that examines the cultural and economic tensions that arise when a Chinese company reopens a shuttered General Motors plant in Ohio.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f579cb2c8190a4e7d8b0bdec5cf8 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c7c60b8819090f2c4b16332c557 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.