Triple
T24405699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam Champion (WWE) |
E615303
|
entity |
| Predicate | categoryOfWorldTitles |
P156082
|
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: [Grand Slam Champion (WWE), categoryOfWorldTitles, WWE Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfWorldTitles Context triple: [Grand Slam Champion (WWE), categoryOfWorldTitles, WWE Championship]
-
A.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
B.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
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.
worldClubChallengeTitles
Indicates the number of World Club Challenge titles an entity has won.
-
E.
challengeCupTitles
Indicates the number of Challenge Cup titles that an entity has won.
- 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_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. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:05 a.m.