Triple
T21746944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxy Brown |
E536813
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Foxy Brown |
—
|
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: Foxy Brown | Statement: [Foxy Brown, name, Foxy Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foxy Brown Context triple: [Foxy Brown, name, Foxy Brown]
-
A.
Foxy Brown
chosen
Foxy Brown is an American rapper known for her influential work in 1990s hip hop, including the album "Ill Na Na" and her membership in the group The Firm.
-
B.
Foxy Brown
Foxy Brown is a 1974 blaxploitation film starring Pam Grier as a tough vigilante seeking revenge against a drug and prostitution ring.
-
C.
Damita Jo
Damita Jo is Janet Jackson’s 2004 R&B and pop studio album known for its sensual themes and fusion of dance, soul, and hip-hop influences.
-
D.
Damita Jo
Damita Jo was an American jazz and R&B singer active in the mid-20th century, known for her smooth vocal style and nightclub performances.
-
E.
Damita Jo Freeman
Damita Jo Freeman is an American dancer and actress best known for her work on the television show "Soul Train" and her appearances in film and television during the 1970s and 1980s.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a771b908190886cade242e263e4 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.