Triple
T35203728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE 2K20 |
E1016477
|
entity |
| Predicate | hasCoverAthlete |
P145954
|
FINISHED |
| Object | Roman Reigns |
E197198
|
NE 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: Roman Reigns | Statement: [WWE 2K20, hasCoverAthlete, Roman Reigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverAthlete Context triple: [WWE 2K20, hasCoverAthlete, Roman Reigns]
-
A.
coverAthlete
chosen
Indicates that an athlete is featured on the cover of a publication or media item.
-
B.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
C.
hasTrophyOrCover
Indicates that an entity either possesses a trophy or is featured on a cover (such as a book, magazine, or media artwork).
-
D.
isAthlete
Indicates that an entity participates in sports or athletic activities, typically at a competitive or professional level.
-
E.
hasCoverType
Indicates that one entity possesses or is associated with a specific type or category of cover.
- F. None of above.
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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb2e05a481908634f1857cf8434c |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.