Triple
T34836044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Casey |
E1004199
|
entity |
| Predicate | numberOfChampionshipReigns |
P186991
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Steve Casey, numberOfChampionshipReigns, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChampionshipReigns Context triple: [Steve Casey, numberOfChampionshipReigns, 6]
-
A.
championshipReignsCount
chosen
Indicates the number of times an entity has held a particular championship title.
-
B.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
-
C.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
-
D.
mostReignsByWrestler
Indicates that the referenced wrestler holds the highest number of championship reigns (or title reigns) compared to all other wrestlers in the given context.
-
E.
championSeriesWins
Indicates that one entity has won a championship series a specified number of times or in a specified context relative to another entity.
- 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.