Triple
T22247277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naughty by Nature |
E549877
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | O.P.P. |
—
|
NE NERFINISHED |
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: O.P.P. | Statement: [Naughty by Nature, notableWork, O.P.P.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O.P.P. Context triple: [Naughty by Nature, notableWork, O.P.P.]
-
A.
“O.P.P.”
chosen
“O.P.P.” is a 1991 hit hip hop single by Naughty by Nature that became widely popular for its catchy hook and playful, euphemistic lyrics.
-
B.
O.P.
O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
-
C.
O.P.
O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
-
D.
Smokin’ O.P.’s
Smokin’ O.P.’s is a 1972 rock album by Bob Seger, noted for its energetic covers and early development of his signature heartland rock sound.
-
E.
OPP
OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13218d1f88190b64b7f301328fa98 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.