Triple

T14411409
Position Surface form Disambiguated ID Type / Status
Subject Gourmet E357335 entity
Predicate associatedWith P37 FINISHED
Object Epicurious E357338 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: Epicurious | Statement: [Gourmet, associatedWith, Epicurious]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epicurious
Context triple: [Gourmet, associatedWith, Epicurious]
  • A. Epicurious chosen
    Epicurious is a popular digital food media brand and recipe website known for its extensive collection of tested recipes, cooking tips, and culinary content.
  • B. Allrecipes
    Allrecipes is a popular online cooking and recipe platform where users share, rate, and discover a wide variety of dishes and meal ideas.
  • C. Contoocook
    Contoocook is a village within the town of Hopkinton in Merrimack County, New Hampshire, known for its historic covered railroad bridge and small-town New England character.
  • D. Serious Eats
    Serious Eats is a popular food website and online community known for its rigorously tested recipes, in-depth cooking guides, and science-based approach to home cooking.
  • E. NYT Cooking
    NYT Cooking is The New York Times’ dedicated recipe and cooking platform offering a large curated collection of recipes, guides, and meal-planning tools.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c9b3448190aec1608836a5e913 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc5df908190858df8fe5897de85 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.