Triple

T7252480
Position Surface form Disambiguated ID Type / Status
Subject Danao group E157635 entity
Predicate classificationAuthority P14126 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: [Danao group, classificationAuthority, Robert Blust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Blust
Context triple: [Danao group, classificationAuthority, 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea7ae0e48190bd80c91bad1976c6 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3a7502081909d2a97a60cc445ae completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.