Triple
T35046655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr Bones |
E1011214
|
entity |
| Predicate | belongsToNationalityContext |
P33828
|
FINISHED |
| Object | American literature |
—
|
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 literature | Statement: [Mr Bones, belongsToNationalityContext, American literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNationalityContext Context triple: [Mr Bones, belongsToNationalityContext, American literature]
-
A.
associatedWithNationality
chosen
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
B.
isByNationality
Indicates that one entity has a specified nationality or originates from the country represented by the other entity.
-
C.
appliedToNationality
Indicates that an action, policy, or status is directed toward or enforced upon individuals of a specific nationality.
-
D.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
-
E.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.