Triple
T18221831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Ihaka |
E436324
|
entity |
| Predicate | RLanguageDomain |
P18654
|
FINISHED |
| Object | statistical computing |
—
|
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: statistical computing | Statement: [Ross Ihaka, RLanguageDomain, statistical computing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RLanguageDomain Context triple: [Ross Ihaka, RLanguageDomain, statistical computing]
-
A.
derivationLanguage
Indicates the language from which something (such as a word, term, or expression) is derived.
-
B.
languageOfCode
chosen
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
C.
languageName
Indicates the specific name assigned to a language in the relationship.
-
D.
languageOfNotation
Indicates the language in which a given notation, script, or symbolic system is expressed or encoded.
-
E.
languageCore
Indicates a fundamental or primary language associated with or used by an 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.