Triple
T6404387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worldwide Underground |
E144141
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Danger
"Danger" is a song by American singer Erykah Badu from her neo-soul album "Worldwide Underground."
|
E589850
|
NE FINISHED |
How this triple was built (4 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: Danger | Statement: [Worldwide Underground, hasTrack, Danger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danger Context triple: [Worldwide Underground, hasTrack, Danger]
-
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 song by American singer and actress Jennifer Hudson, showcasing her powerful vocals in a contemporary R&B/pop style.
-
D.
Dangerous
"Dangerous" is a work by Scott Clinton Reeves, better known as actor and musician Scott Reeves, showcasing his creative output beyond his television roles.
-
E.
Peril
Peril is a nonfiction political book by journalists Bob Woodward and Robert Costa that chronicles the tumultuous final months of the Trump administration and the 2020 presidential transition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Danger Triple: [Worldwide Underground, hasTrack, Danger]
Generated description
"Danger" is a song by American singer Erykah Badu from her neo-soul album "Worldwide Underground."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danger Target entity description: "Danger" is a song by American singer Erykah Badu from her neo-soul album "Worldwide Underground."
-
A.
Dangerous
"Dangerous" is a song by American singer and actress Jennifer Hudson, showcasing her powerful vocals in a contemporary R&B/pop style.
-
B.
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.
-
C.
Dangerous
"Dangerous" is a hip hop single by LL Cool J known for its aggressive lyrics and energetic delivery.
-
D.
Dangerous
"Dangerous" is a work by Scott Clinton Reeves, better known as actor and musician Scott Reeves, showcasing his creative output beyond his television roles.
-
E.
Peril
Peril is a nonfiction political book by journalists Bob Woodward and Robert Costa that chronicles the tumultuous final months of the Trump administration and the 2020 presidential transition.
- F. None of above. chosen
Provenance (5 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b0950c819091169aa1a3be0e88 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638aaed0c8190939e751af7c3fa80 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.