Triple
T34700685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Garcia |
E1000357
|
entity |
| Predicate | amateurNationalTitles |
P48767
|
FINISHED |
| Object | multiple United States national amateur championships |
—
|
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: multiple United States national amateur championships | Statement: [Ryan Garcia, amateurNationalTitles, multiple United States national amateur championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amateurNationalTitles Context triple: [Ryan Garcia, amateurNationalTitles, multiple United States national amateur championships]
-
A.
amateurTitle
chosen
Indicates that an entity holds or is associated with a non-professional (amateur) title or rank in a given domain or activity.
-
B.
amateurAchievement
Indicates that an entity has achieved something notable or commendable in a non-professional or hobbyist capacity.
-
C.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
D.
wrestlingNationalTitles
Indicates that the subject has won one or more national championship titles in the sport of wrestling.
-
E.
amateurCareerRecord
Indicates the win–loss (and possibly draw) record an individual achieved during their amateur-level career in a given activity or sport.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.