Triple
T36302633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saraya-Jade Bevis |
E893861
|
entity |
| Predicate | retiredFromInRingCompetitionIn |
P2644
|
FINISHED |
| Object | WWE |
—
|
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 | Statement: [Saraya-Jade Bevis, retiredFromInRingCompetitionIn, WWE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromInRingCompetitionIn Context triple: [Saraya-Jade Bevis, retiredFromInRingCompetitionIn, WWE]
-
A.
retiredFromEligibleCompetition
Indicates that an entity has permanently withdrawn from participation in competitions for which they were previously eligible.
-
B.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
-
C.
retiredFrom
chosen
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
D.
retiredFromSidelines
Indicates that an entity has ended its role or involvement from a previously inactive, observing, or non-participatory position in a given context.
-
E.
ceasedFullTimeCompetition
Indicates that an entity has stopped participating in full-time competition, ending its ongoing competitive involvement as a primary activity.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:09 p.m.