Triple
T24405169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Good |
E615291
|
entity |
| Predicate | WWEChampionshipsHeld |
P147740
|
FINISHED |
| Object | WWE Championship |
—
|
NE NERFINISHED |
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: WWE Championship | Statement: [Jonathan Good, WWEChampionshipsHeld, WWE Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WWEChampionshipsHeld Context triple: [Jonathan Good, WWEChampionshipsHeld, WWE Championship]
-
A.
WWEChampionshipWinner
Indicates that the subject is the person or entity who has won the WWE Championship title.
-
B.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
-
C.
wrestlingNationalTitles
Indicates that the subject has won one or more national championship titles in the sport of wrestling.
-
D.
championshipHeld
Indicates that a championship event took place or was hosted at a particular time and/or location.
-
E.
wrestlingTitle
chosen
Indicates that an entity holds or is associated with a specific professional wrestling championship title.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294de76848190bd2cf3c7add2dcf1 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.