Triple
T3126967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazing |
E65319
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jeezy |
E207056
|
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: Jeezy | Statement: [Amazing, writer, Jeezy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeezy Context triple: [Amazing, writer, Jeezy]
-
A.
Jeezy
chosen
Jeezy is an American rapper from Atlanta known for his influential role in popularizing trap music in the mid-2000s.
-
B.
Juicy J
Juicy J is an American rapper, producer, and founding member of the hip hop group Three 6 Mafia, known for his influential role in Southern rap and numerous high-profile collaborations.
-
C.
Weezy F. Baby
Weezy F. Baby is a popular nickname and catchphrase used by American rapper Lil Wayne, often featured in his song intros and lyrics.
-
D.
Jadakiss
Jadakiss is an American rapper from Yonkers, New York, known for his gritty lyricism, distinctive raspy voice, and work both as a solo artist and member of The LOX.
-
E.
Ludacris
Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada544cb648190b5ed430dbd561d52 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324e2f1448190be5b744abdeed314 |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:04 p.m.