Triple
T5752602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advance Publications |
E126886
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object | Bon Appétit |
E357336
|
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: Bon Appétit | Statement: [Advance Publications, notableBrand, Bon Appétit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bon Appétit Context triple: [Advance Publications, notableBrand, Bon Appétit]
-
A.
Bon Appétit
chosen
Bon Appétit is a popular American food and lifestyle magazine and media brand known for its recipes, cooking videos, and culinary culture coverage.
-
B.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
-
C.
Chez Panisse
Chez Panisse is a pioneering Berkeley restaurant founded by Alice Waters, renowned for its farm-to-table California cuisine and influential role in the American food movement.
-
D.
Food: A Love Story
Food: A Love Story is a humorous book by comedian Jim Gaffigan that explores his obsessions with food and American eating habits through observational comedy.
-
E.
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.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.