Triple
T9390913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black or White |
E226022
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Dangerous |
E685051
|
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: Dangerous | Statement: [Black or White, partOf, Dangerous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dangerous Context triple: [Black or White, partOf, Dangerous]
-
A.
Dangerous
Dangerous is a 1935 drama film starring Bette Davis, whose acclaimed performance as a troubled actress earned her an Academy Award for Best Actress.
-
B.
Dangerous
"Dangerous" is a hip hop single by LL Cool J known for its aggressive lyrics and energetic delivery.
-
C.
Dangerous
"Dangerous" is a 1987 hard rock song by American band Mötley Crüe, known for its aggressive sound and rebellious lyrics.
-
D.
Dangerous
chosen
Dangerous is a landmark 1991 pop and R&B album by Michael Jackson that blends new jack swing production with socially conscious themes and some of his most iconic hits.
-
E.
Dangerous
"Dangerous" is a song by American singer and actress Jennifer Hudson, showcasing her powerful vocals in a contemporary R&B/pop 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510d7a9c8190a74ccdb5478dedc9 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1221da00c8190ada494660735f741 |
completed | April 4, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:45 p.m.