Triple
T13600023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pinkprint |
E324917
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Truffle Butter |
E1048817
|
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: Truffle Butter | Statement: [The Pinkprint, notableSingle, Truffle Butter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truffle Butter Context triple: [The Pinkprint, notableSingle, Truffle Butter]
-
A.
Truffle Butter
chosen
"Truffle Butter" is a hip hop song by Nicki Minaj featuring Drake and Lil Wayne, known for its catchy beat and explicit lyrics.
-
B.
Truffles
Truffles is a loud, short-tempered elderly woman who runs the catering business in the animated series "Chowder," often bossing around the other characters with her abrasive personality.
-
C.
Duck Butter
Duck Butter is a 2018 independent romantic drama film co-written by and starring Alia Shawkat, following two women who attempt to fast-track intimacy by spending 24 continuous hours together.
-
D.
Mantequilla
Mantequilla is the ring nickname of José Nápoles, the Cuban-Mexican boxing legend renowned as one of the greatest welterweights in history.
-
E.
Mustardinha
Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f92224c8190b66adef1291cd47f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.