Triple
T23580409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John J. Dunbar |
E582185
|
entity |
| Predicate | languageLearned |
P741
|
FINISHED |
| Object | Lakota |
—
|
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: Lakota | Statement: [John J. Dunbar, languageLearned, Lakota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageLearned Context triple: [John J. Dunbar, languageLearned, Lakota]
-
A.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
B.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a language.
-
C.
languagesSpoken
chosen
Indicates that an entity is able to communicate using one or more specified languages.
-
D.
languageGroupSpoken
Indicates that a particular language group is spoken or used for communication by an entity.
-
E.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b02c265c819094728220d77172c6 |
completed | April 29, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:39 p.m.