Triple
T21429876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak Your Mind |
E528655
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Heavy |
—
|
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: Heavy | Statement: [Speak Your Mind, hasTrack, Heavy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heavy Context triple: [Speak Your Mind, hasTrack, Heavy]
-
A.
Heavy
chosen
"Heavy" is a popular rock song by the American band Collective Soul, known for its driving guitar riff and success on rock radio in the late 1990s.
-
B.
Heavy
"Heavy" is a soulful R&B song by American singer SiR, known for its smooth production and introspective lyrics.
-
C.
Heavy
"Heavy" is a 2017 pop-rock single by Linkin Park featuring Kiiara that marked a stylistic shift toward a more minimalist, electronic-influenced sound and sparked mixed reactions from fans and critics.
-
D.
Heavy
Heavy is a 1995 independent drama film known for its quiet, character-driven portrayal of loneliness and unrequited love in a small-town diner setting.
-
E.
Heavy D
Heavy D was a Jamaican-born American rapper, record producer, and leader of the influential hip hop group Heavy D & the Boyz, known for his smooth delivery and crossover appeal in the late 1980s and 1990s.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.