Triple
T3763763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Grammy Awards |
E82621
|
entity |
| Predicate | viewershipUS |
P2638
|
FINISHED |
| Object | 39 million |
—
|
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: 39 million | Statement: [2012 Grammy Awards, viewershipUS, 39 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewershipUS Context triple: [2012 Grammy Awards, viewershipUS, 39 million]
-
A.
viewershipRegion
Indicates the geographic region or area in which content is viewed or for which its audience is measured.
-
B.
USViewers
chosen
Indicates the number or set of viewers located in the United States who watched or were exposed to a particular piece of content or event.
-
C.
broadcastRatingUS
Indicates the television content rating assigned to a broadcast in the United States.
-
D.
USNielsenRating
Indicates the television audience rating assigned to a program in the United States according to the Nielsen measurement system.
-
E.
UnitedStatesViewsAs
Indicates that the United States regards or considers a given entity in a particular way, role, or status.
- F. None of above.
Provenance (3 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfbecf8819099d80af480cbe2d2 |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.