Triple
T38645201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proleague |
E938695
|
entity |
| Predicate | hadInternationalViewers |
P177635
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Proleague, hadInternationalViewers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadInternationalViewers Context triple: [Proleague, hadInternationalViewers, true]
-
A.
viewershipWorld
chosen
Indicates the extent or pattern of how an entity is watched or followed by audiences across the world.
-
B.
viewershipNote
Indicates a note or annotation providing additional information or context about the viewership of something.
-
C.
hasInternationalAttentionFor
Indicates that an entity is receiving recognition, focus, or concern from audiences, organizations, or media beyond its own country, specifically in relation to a particular topic, event, or attribute.
-
D.
internationalObservers
Indicates that the entities serve as neutral third parties monitoring or overseeing an event, process, or situation across national boundaries.
-
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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.