Triple
T3411152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Small World Salute to 25 Years of the Super Bowl |
E71895
|
entity |
| Predicate | liveAudience |
P27043
|
FINISHED |
| Object | Super Bowl spectators |
—
|
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: Super Bowl spectators | Statement: [A Small World Salute to 25 Years of the Super Bowl, liveAudience, Super Bowl spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveAudience Context triple: [A Small World Salute to 25 Years of the Super Bowl, liveAudience, Super Bowl spectators]
-
A.
hasAudienceReception
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
B.
audienceSizeApproximate
Indicates an estimated or approximate number of people in the audience for an event or content.
-
C.
livePerformanceStapleFor
Indicates that something (such as a song or piece) is regularly and prominently featured in another entity’s live performances.
-
D.
hasSpectators
chosen
Indicates that an event, activity, or occurrence is being watched or attended by one or more spectators.
-
E.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9094b2881909262e58a470ed9d0 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.