Triple
T4168613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ms. Jackson |
E84503
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | So Fresh, So Clean |
E416759
|
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: So Fresh, So Clean | Statement: [Ms. Jackson, followedBy, So Fresh, So Clean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Fresh, So Clean Context triple: [Ms. Jackson, followedBy, So Fresh, So Clean]
-
A.
So Fresh, So Clean
chosen
"So Fresh, So Clean" is a popular hip-hop track by OutKast, known for its smooth production and memorable hook, that has become a staple of early-2000s rap.
-
B.
Something Fresh
"Something Fresh" is a comic novel by P. G. Wodehouse that introduces the eccentric Blandings Castle setting and showcases his trademark lighthearted humor and intricate farce.
-
C.
Take ‘Em to the Cleaners
Take ‘Em to the Cleaners is a release by the hip hop group Consequence, showcasing his lyrical style and contributions to the genre.
-
D.
Doin' It
"Doin' It" is a mid-1990s hip hop single by LL Cool J known for its smooth, sensual vibe and catchy chorus.
-
E.
Sure Thing
"Sure Thing" is a smooth, R&B love song by American singer Miguel that became one of his breakout hits and a fan favorite.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c573788190a60ab3f83b07a6f6 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589ec8a60819099647577b7ab9be1 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:44 p.m.