Triple
T6850408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Slam |
E157999
|
entity |
| Predicate | associatedWithPlayers |
P72605
|
FINISHED |
| Object | top professional tennis players |
—
|
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: top professional tennis players | Statement: [The Happy Slam, associatedWithPlayers, top professional tennis players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPlayers Context triple: [The Happy Slam, associatedWithPlayers, top professional tennis players]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
C.
associatedWithCompetition
Indicates that there is a relationship or involvement between an entity and a specific competition or competitive event.
-
D.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
E.
associatedWithArena
Indicates a relationship in which an entity is linked or connected to a particular arena, such as by location, use, affiliation, or operation.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6d1668a7c8190ae93951f9ba2df10 |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:20 p.m.