Triple
T31200700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lange |
E795467
|
entity |
| Predicate | countryOfCitizenshipOfAuthor |
P6689
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [John Lange, countryOfCitizenshipOfAuthor, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCitizenshipOfAuthor Context triple: [John Lange, countryOfCitizenshipOfAuthor, United States]
-
A.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
B.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
C.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
-
D.
authorNationality
chosen
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
E.
authorPrimaryCountryOfActivity
Indicates the main country in which an author predominantly conducts or conducted their professional or creative activities.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
Created at: April 29, 2026, 9:09 p.m.