Triple
T5193315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disturbing tha Peace |
E117208
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Field Mob |
E497289
|
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: Field Mob | Statement: [Disturbing tha Peace, notableArtist, Field Mob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Field Mob Context triple: [Disturbing tha Peace, notableArtist, Field Mob]
-
A.
Field Mob
chosen
Field Mob is an American hip hop duo from Albany, Georgia, known for their Southern rap style and storytelling lyrics.
-
B.
Mossend
Mossend is a residential area in North Lanarkshire, Scotland, situated adjacent to the town of Bellshill.
-
C.
Kodos
Kodos is a recurring alien character from the animated television series "The Simpsons," often appearing in the show's "Treehouse of Horror" Halloween episodes.
-
D.
Battlecat
Battlecat is a West Coast hip hop producer and DJ known for his smooth, funk-influenced G-funk sound and work with artists like Snoop Dogg and Xzibit.
-
E.
Maifeld
Maifeld is a large open-air field and stadium area in Berlin, Germany, historically used for major sporting and ceremonial events, including competitions during the 1936 Summer Olympics.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0943ce48190838aff0cfd12c655 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.