Triple
T1648836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelis |
E35644
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Food |
E185687
|
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 | Statement: [Kelis, album, Food]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food Context triple: [Kelis, album, Food]
-
A.
Food
chosen
Food is a 2014 studio album by American singer Kelis that blends soul, funk, and R&B with a warm, retro-inspired sound.
-
B.
Food & Wine
Food & Wine is a long-running American magazine and media brand focused on gourmet cooking, wine, restaurants, and culinary travel.
-
C.
The Food
"The Food" is a song, notably by rapper Common featuring Kanye West, known for its soulful production and socially conscious lyrics.
-
D.
Lu cuisine
Lu cuisine is one of the Eight Great Traditions of Chinese cuisine, renowned for its fresh ingredients, savory flavors, and masterful use of soups and seafood.
-
E.
Gourmandises
Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a6537e0819082b966023e0c0583 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad681db3408190a3b469e319486419 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.