Triple
T21845123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murda Muzik |
E539353
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Let a Ho Be a Ho |
—
|
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: Let a Ho Be a Ho | Statement: [Murda Muzik, hasPart, Let a Ho Be a Ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let a Ho Be a Ho Context triple: [Murda Muzik, hasPart, Let a Ho Be a Ho]
-
A.
Achin’ to Be
"Achin’ to Be" is a punk rock song by the American band Pinhead Gunpowder, known for its melodic hooks and association with Green Day’s Billie Joe Armstrong.
-
B.
Hoop-La
Hoop-La is a 1933 American pre-Code drama film starring Clara Bow in one of her final screen roles.
-
C.
Rather Be
"Rather Be" is a 2014 hit single by British electronic group Clean Bandit featuring Jess Glynne, known for its blend of classical-inspired strings with dance-pop production.
-
D.
Woo Hoo
chosen
"Woo Hoo" is a track featured on the album *Crime Pays*, likely contributing an energetic or standout moment within the record.
-
E.
One Be Lo
One Be Lo is an American underground hip-hop artist and producer best known as one half of the duo Binary Star and for his introspective, socially conscious solo work.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5398fc81909f025bcccd0f80cb |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.