Triple
T9256973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Sweeting |
E222467
|
entity |
| Predicate | ITFJuniorRankingAchievement |
P87819
|
FINISHED |
| Object | top junior player |
—
|
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 junior player | Statement: [Ryan Sweeting, ITFJuniorRankingAchievement, top junior player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ITFJuniorRankingAchievement Context triple: [Ryan Sweeting, ITFJuniorRankingAchievement, top junior player]
-
A.
juniorGrandSlamTitlesYear
Indicates the specific year in which a junior-level Grand Slam tennis title was won.
-
B.
ITTFWorldTourTitle
Indicates that an entity has won a title at an ITTF World Tour table tennis event.
-
C.
ITTFWorldTourGrandFinalsTitle
Indicates that an entity has won a title at the ITTF World Tour Grand Finals table tennis tournament.
-
D.
tennisStatus
Indicates the current state or condition of an entity in the context of tennis, such as whether they are playing, available, or in a particular match-related status.
-
E.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b4e2048190af0d65b904677c36 |
completed | April 1, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:32 p.m.