Triple
T1594659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legend |
E34251
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
Dope
"Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
|
E180777
|
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: Dope | Statement: [Legend, hasSingle, Dope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dope Context triple: [Legend, hasSingle, Dope]
-
A.
Detroit Three
The Detroit Three are the three major American automobile manufacturers—General Motors, Ford, and Stellantis North America (formerly Chrysler)—historically centered in the Detroit, Michigan area.
-
B.
8 Mile
8 Mile is a 2002 drama film starring Eminem that follows a young rapper’s struggle to break out of poverty and make it in Detroit’s hip-hop scene.
-
C.
Dope Body
Dope Body is an American noise rock band from Baltimore known for its aggressive sound, experimental approach, and energetic live performances.
-
D.
Big Daddy
Big Daddy is a 1999 comedy film starring Adam Sandler as an immature man who unexpectedly becomes the guardian of a young boy, leading to humorous and heartfelt life lessons.
-
E.
Clockers
Clockers is a 1995 crime drama film directed by Spike Lee that explores urban drug dealing, violence, and moral ambiguity in a Brooklyn housing project.
- 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: Dope Triple: [Legend, hasSingle, Dope]
Generated description
"Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dope Target entity description: "Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
-
A.
Detroit Three
The Detroit Three are the three major American automobile manufacturers—General Motors, Ford, and Stellantis North America (formerly Chrysler)—historically centered in the Detroit, Michigan area.
-
B.
8 Mile
8 Mile is a 2002 drama film starring Eminem that follows a young rapper’s struggle to break out of poverty and make it in Detroit’s hip-hop scene.
-
C.
Dope Body
Dope Body is an American noise rock band from Baltimore known for its aggressive sound, experimental approach, and energetic live performances.
-
D.
Big Daddy
Big Daddy is a 1999 comedy film starring Adam Sandler as an immature man who unexpectedly becomes the guardian of a young boy, leading to humorous and heartfelt life lessons.
-
E.
Clockers
Clockers is a 1995 crime drama film directed by Spike Lee that explores urban drug dealing, violence, and moral ambiguity in a Brooklyn housing project.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092aed308190a0198a0fb977a9e5 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a595488190a73cfa867595b568 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad47fde094819093f7f1240b7bd520 |
completed | March 8, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad48550d4c8190bdaa68de5ba1b321 |
completed | March 8, 2026, 9:58 a.m. |
Created at: March 4, 2026, 7:27 p.m.