Triple
T7608046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander D. Smith |
E180157
|
entity |
| Predicate | languageFamilyResearched |
P65737
|
FINISHED |
| Object | Austronesian |
—
|
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: Austronesian | Statement: [Alexander D. Smith, languageFamilyResearched, Austronesian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageFamilyResearched Context triple: [Alexander D. Smith, languageFamilyResearched, Austronesian]
-
A.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
B.
studiesLanguageFamily
chosen
Indicates that an entity engages in the academic or systematic study of a particular language family.
-
C.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
D.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
-
E.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6fa1de8a4819091f9e9347835ce16 |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.