Triple
T6545122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XXXI |
E150985
|
entity |
| Predicate | televisionViewers |
P2638
|
FINISHED |
| Object | 87500000 |
—
|
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: 87500000 | Statement: [Super Bowl XXXI, televisionViewers, 87500000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionViewers Context triple: [Super Bowl XXXI, televisionViewers, 87500000]
-
A.
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.
-
B.
televisionExposureLevel
Indicates the degree or amount of exposure an entity has to television content.
-
C.
USNielsenRating
Indicates the television audience rating assigned to a program in the United States according to the Nielsen measurement system.
-
D.
mediaSignal
Indicates that one entity serves as a medium or channel through which a signal, message, or information is transmitted from a source to a receiver.
-
E.
televisionCategory
Indicates the classification or genre category assigned to a television-related entity (such as a show, channel, or program).
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.