Triple
T22577942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Quest |
E544465
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Boogie |
—
|
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: Boogie | Statement: [Lord Quest, collaboratedWith, Boogie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boogie Context triple: [Lord Quest, collaboratedWith, Boogie]
-
A.
Boogie
chosen
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
-
B.
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."
-
C.
Boogie Child
"Boogie Child" is a funk-infused disco track by the Bee Gees, known for its energetic groove and prominent use of falsetto vocals.
-
D.
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.
-
E.
Boogie Man
"Boogie Man" is a hard rock song by the Australian band AC/DC, featured on their 1995 album "Ballbreaker."
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.