Triple
T12045128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Linguistic Turn |
E286763
|
entity |
| Predicate | editorNationality |
P6218
|
FINISHED |
| Object | American |
—
|
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 | Statement: [The Linguistic Turn, editorNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorNationality Context triple: [The Linguistic Turn, editorNationality, American]
-
A.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
B.
creatorNationality
chosen
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
C.
editorInChiefEnd
Indicates the point in time or event when an individual's role as editor-in-chief of a publication or organization comes to an end.
-
D.
editorialRole
Indicates that one entity holds an editorial position or responsibility in relation to another entity, such as a publication, work, or organization.
-
E.
namedEditorInChief
Indicates that one entity has been designated to serve in the role of editor-in-chief for another entity, such as a publication or organization.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.