Triple
T23242184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fo Sheezy |
E581483
|
entity |
| Predicate | hasMusicalStylePeriod |
P63840
|
FINISHED |
| Object | early career of Lil Wayne |
—
|
LITERAL 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: early career of Lil Wayne | Statement: [Fo Sheezy, hasMusicalStylePeriod, early career of Lil Wayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalStylePeriod Context triple: [Fo Sheezy, hasMusicalStylePeriod, early career of Lil Wayne]
-
A.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
B.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
C.
includesMusicalStyle
Indicates that one entity encompasses, features, or incorporates a particular musical style as part of its content or character.
-
D.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
-
E.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
- F. None of above.
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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ef109881908c8fba7316c90910 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.