Triple
T35628351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayley and Sasha Banks |
E1029516
|
entity |
| Predicate | memberNationality |
P194104
|
FINISHED |
| Object | American (Bayley) |
—
|
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: American (Bayley) | Statement: [Bayley and Sasha Banks, memberNationality, American (Bayley)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberNationality Context triple: [Bayley and Sasha Banks, memberNationality, American (Bayley)]
-
A.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
B.
userNationality
Indicates that a user has a specific national affiliation or citizenship.
-
C.
bearerNationality
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
D.
workerNationality
Indicates the country or nationality to which a worker belongs or is legally associated.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: May 3, 2026, 4:05 p.m.