Triple
T16070108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Boogie wit da Hoodie |
E389838
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
A Boogie
A Boogie is an American rapper, singer, and songwriter from the Bronx known for his melodic style and hit songs like "Drowning" and "Look Back at It."
|
E1192938
|
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: A Boogie | Statement: [A Boogie wit da Hoodie, alsoKnownAs, A Boogie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Boogie Context triple: [A Boogie wit da Hoodie, alsoKnownAs, A Boogie]
-
A.
The Boogie That Be
"The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
-
B.
Boogie
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
-
C.
Believe in the Boogie
"Believe in the Boogie" is a song by British singer-songwriter James Blunt from his album "All the Lost Souls."
-
D.
Born to Boogie
"Born to Boogie" is a hit country rock song by Hank Williams Jr. that became one of his signature anthems in the late 1980s.
-
E.
Boogie Down
Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
- 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: A Boogie Triple: [A Boogie wit da Hoodie, alsoKnownAs, A Boogie]
Generated description
A Boogie is an American rapper, singer, and songwriter from the Bronx known for his melodic style and hit songs like "Drowning" and "Look Back at It."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A Boogie Target entity description: A Boogie is an American rapper, singer, and songwriter from the Bronx known for his melodic style and hit songs like "Drowning" and "Look Back at It."
-
A.
The Boogie That Be
"The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
-
B.
Boogie
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
-
C.
Believe in the Boogie
"Believe in the Boogie" is a song by British singer-songwriter James Blunt from his album "All the Lost Souls."
-
D.
Born to Boogie
"Born to Boogie" is a hit country rock song by Hank Williams Jr. that became one of his signature anthems in the late 1980s.
-
E.
Boogie Down
Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bd9578819097e7cb1108b1f6f7 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4827cd48190aa470c6537e72508 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe6c956a48190845faac983b9a064 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe7387b38819094e55ae14ec2c036 |
completed | May 10, 2026, 2:02 a.m. |
Created at: April 10, 2026, 4:57 a.m.