Triple
T6850400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Slam |
E157999
|
entity |
| Predicate | associatedWithAudienceType |
P62009
|
FINISHED |
| Object | global tennis audience |
—
|
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: global tennis audience | Statement: [The Happy Slam, associatedWithAudienceType, global tennis audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAudienceType Context triple: [The Happy Slam, associatedWithAudienceType, global tennis audience]
-
A.
relatesToAudience
chosen
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
B.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
C.
associatedMusicAudience
Indicates a relationship where a piece of music, musical work, or performance is intended for, targeted at, or commonly associated with a particular audience or listener group.
-
D.
affiliateOfType
Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
-
E.
associatedWithEpisodeType
Indicates that something has a connection or linkage to a particular type or category of episode.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.