Triple
T16879648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead Prez |
E421383
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Outlawz |
E146136
|
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: Outlawz | Statement: [Dead Prez, associatedAct, Outlawz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outlawz Context triple: [Dead Prez, associatedAct, Outlawz]
-
A.
Outlawz
chosen
Outlawz is a hip hop group best known for its close collaboration with Tupac Shakur and its role in the 1990s West Coast rap scene.
-
B.
Booty Luv
Booty Luv is a British dance music duo known for their club-oriented covers and original tracks that blend house, pop, and R&B influences.
-
C.
The Whooliganz
The Whooliganz were a 1990s hip hop duo from Los Angeles featuring a young Alchemist (then known as Mudfoot) and Scott Caan, known for their early work with the Soul Assassins collective.
-
D.
SheDaisy
SheDaisy is an American country music group known for their tight vocal harmonies and early-2000s hits like "Little Good-Byes" and "This Woman Needs."
-
E.
Lion Babe
Lion Babe is a New York-based neo-soul and R&B duo known for their blend of soulful vocals, electronic production, and retro-futuristic style.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f9aea0819090aef3c0c1ad349d |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b684108190928afb0a2d1af038 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.