Triple
T1041501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypnotize |
E22477
|
entity |
| Predicate | RIAACertificationUS |
P23846
|
FINISHED |
| Object | Platinum |
—
|
LITERAL FINISHED |
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: Platinum | Statement: [Hypnotize, RIAACertificationUS, Platinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RIAACertificationUS Context triple: [Hypnotize, RIAACertificationUS, Platinum]
-
A.
MVPAwards
Indicates a relationship where an entity receives or is associated with awards for music video production or performance.
-
B.
rockAndRollHallOfFameInductionYear
Indicates the year in which an entity was inducted into the Rock and Roll Hall of Fame.
-
C.
MVPAward
Indicates a relationship where an entity receives or is granted a "Most Valuable Player" (MVP) award in recognition of outstanding performance.
-
D.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
E.
mostAwardsHolder
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
- F. None of above. chosen
Provenance (4 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b845fa8c8190a7b69629883b62e2 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8444f708190815732408aa0463e |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.