Triple
T5546255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entertainment Studios Television |
E145414
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Recipe.TV |
E143359
|
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: Recipe.TV | Statement: [Entertainment Studios Television, notableWork, Recipe.TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recipe.TV Context triple: [Entertainment Studios Television, notableWork, Recipe.TV]
-
A.
Recipe.TV
chosen
Recipe.TV is a lifestyle television network and streaming channel focused on cooking, culinary travel, and food-related programming.
-
B.
Cooking Channel
Cooking Channel is an American cable television network focused on instructional cooking shows, culinary exploration, and food-related entertainment.
-
C.
Epicurious
Epicurious is a popular digital food media brand and recipe website known for its extensive collection of tested recipes, cooking tips, and culinary content.
-
D.
Food Network
Food Network is a cable television channel dedicated to food, cooking, and culinary lifestyle programming.
-
E.
Allrecipes
Allrecipes is a popular online cooking and recipe platform where users share, rate, and discover a wide variety of dishes and meal ideas.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fdec3588190b0af7d2ca8e8ee9b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02826d84c8190a745e891ac2cccb8 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.