Triple
T13122489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trey Hardee |
E311758
|
entity |
| Predicate | numberOfWorldChampionshipTitles |
P15197
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Trey Hardee, numberOfWorldChampionshipTitles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldChampionshipTitles Context triple: [Trey Hardee, numberOfWorldChampionshipTitles, 2]
-
A.
worldChampionshipTitles
chosen
Indicates the number of world championship titles an entity has won.
-
B.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
C.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
D.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
E.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819840b881909b76022b4c4dcaed |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:07 p.m.