Triple
T7135470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condé Nast |
E166295
|
entity |
| Predicate | brand |
P1500
|
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: [Condé Nast, brand, Epicurious]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epicurious Context triple: [Condé Nast, brand, 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.
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.
-
D.
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.
-
E.
EatingWell
EatingWell is a food and lifestyle brand and magazine focused on healthy recipes, nutrition, and wellness-oriented cooking.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e690f954819084b81a555f4cdb5e |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a348a748819082f87039ea79f251 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.