Triple
T23060762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blust |
E574293
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Robert Blust |
—
|
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: Robert Blust | Statement: [Blust, notableBearer, Robert Blust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Blust Context triple: [Blust, notableBearer, Robert Blust]
-
A.
Robert Blust
chosen
Robert Blust was an influential American linguist and Austronesian specialist known for his extensive comparative and historical work on the languages of the Pacific and Southeast Asia.
-
B.
R. M. W. Dixon
R. M. W. Dixon is an influential Australian linguist renowned for his extensive work on Australian Aboriginal languages and contributions to linguistic typology and language documentation.
-
C.
James A. Matisoff
James A. Matisoff is an American linguist renowned for his pioneering work on Sino-Tibetan historical linguistics and language reconstruction.
-
D.
Paul Kiparsky
Paul Kiparsky is a prominent linguist known for his influential work in generative phonology and historical linguistics.
-
E.
Kenneth Hale
Kenneth Hale was an influential American linguist renowned for his work on indigenous and endangered languages, especially in the Americas and Australia, and for his contributions to theoretical syntax and language preservation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899ff96081908d89a07a3b1065c8 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.