Triple
T13793884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kick, Push |
E331465
|
entity |
| Predicate | fromDebutAlbum |
P33224
|
FINISHED |
| Object | Food & Liquor |
E331454
|
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 & Liquor | Statement: [Kick, Push, fromDebutAlbum, Food & Liquor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food & Liquor Context triple: [Kick, Push, fromDebutAlbum, Food & Liquor]
-
A.
Food & Liquor
chosen
Food & Liquor is the critically acclaimed debut studio album by American rapper Lupe Fiasco, known for its socially conscious lyrics and innovative production.
-
B.
Food & Wine
Food & Wine is a long-running American magazine and media brand focused on gourmet cooking, wine, restaurants, and culinary travel.
-
C.
Food & Drink
Food & Drink is a lifestyle and culture section of the Financial Times Weekend edition that focuses on culinary trends, restaurant coverage, recipes, and drinks.
-
D.
Food & Wine Festival
The Food & Wine Festival is a seasonal culinary event at Busch Gardens Williamsburg featuring international cuisine, specialty beverages, and live entertainment.
-
E.
Wines and Spirits
Wines and Spirits is a major LVMH business division encompassing prestigious wine, champagne, and spirits brands.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.