Triple
T14243447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigga Please |
E353068
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Cracker Jack |
E568802
|
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: Cracker Jack | Statement: [Nigga Please, hasTrack, Cracker Jack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cracker Jack Context triple: [Nigga Please, hasTrack, Cracker Jack]
-
A.
Cracker Jack
chosen
Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
-
B.
Candy-O
Candy-O is the second studio album by American rock band The Cars, known for its sleek new wave sound and iconic Vargas cover art.
-
C.
Cocoa Pebbles
Cocoa Pebbles is a chocolate-flavored crispy rice breakfast cereal based on The Flintstones cartoon characters and popular for its rich cocoa taste and crunchy texture.
-
D.
Fruity Pebbles
Fruity Pebbles is a brightly colored, rice-based breakfast cereal known for its fruity flavors and association with The Flintstones cartoon characters.
-
E.
Chips Ahoy!
Chips Ahoy! is a popular mass-produced chocolate chip cookie brand known for its crunchy texture and wide availability in supermarkets.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28235880819094f5983cce01b0fc |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.