Triple
T33637483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XXVII halftime show featuring Michael Jackson |
E861735
|
entity |
| Predicate | viewershipTrend |
P93833
|
FINISHED |
| Object | halftime ratings surpassed game ratings during performance |
—
|
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: halftime ratings surpassed game ratings during performance | Statement: [Super Bowl XXVII halftime show featuring Michael Jackson, viewershipTrend, halftime ratings surpassed game ratings during performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewershipTrend Context triple: [Super Bowl XXVII halftime show featuring Michael Jackson, viewershipTrend, halftime ratings surpassed game ratings during performance]
-
A.
viewershipImpact
Indicates how one entity’s viewership levels influence or change the audience size, engagement, or visibility of another entity.
-
B.
viewershipNote
chosen
Indicates a note or annotation providing additional information or context about the viewership of something.
-
C.
estimatedViewers
Indicates the number of viewers expected or predicted to watch a particular event, program, or content.
-
D.
viewershipEstimateUnit
Indicates the unit of measurement used to express a viewership estimate (e.g., viewers, households, percentage).
-
E.
USViewers
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.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.