Triple
T6184644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Blust |
E138026
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Blust |
E138026
|
NE 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: Robert Blust | Statement: [Robert Blust, name, Robert Blust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Blust Context triple: [Robert Blust, name, 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.
James A. Matisoff
James A. Matisoff is an American linguist renowned for his pioneering work on Sino-Tibetan historical linguistics and language reconstruction.
-
C.
Paul Kiparsky
Paul Kiparsky is a prominent linguist known for his influential work in generative phonology and historical linguistics.
-
D.
Edwin G. Pulleyblank
Edwin G. Pulleyblank was a prominent Canadian sinologist and historical linguist known for his influential reconstructions of Middle Chinese phonology and major contributions to the study of Chinese historical linguistics.
-
E.
Martin Haspelmath
Martin Haspelmath is a prominent German linguist known for his influential work in linguistic typology, grammatical description, and the development of cross-linguistic databases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c061020d148190ae2edf2b363f1e24 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c6b5888190983bff620c7663cc |
completed | March 23, 2026, 1:36 p.m. |
Created at: March 22, 2026, 4:19 p.m.