Triple
T21007369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Noyer |
E517446
|
entity |
| Predicate | fieldOfWork |
P3
|
FINISHED |
| Object | Distributed Morphology |
—
|
NE NERFINISHED |
How this triple was built (3 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: Distributed Morphology | Statement: [Rolf Noyer, fieldOfWork, Distributed Morphology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Distributed Morphology Context triple: [Rolf Noyer, fieldOfWork, Distributed Morphology]
-
A.
“Lexical Phonology and Morphology”
“Lexical Phonology and Morphology” is a foundational linguistic work by Paul Kiparsky that develops a theory integrating phonological rules with morphological structure in a stratified lexicon.
-
B.
Lexical-Functional Grammar
Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
-
C.
Word Formation in Generative Grammar
Word Formation in Generative Grammar is a foundational linguistics monograph that systematically analyzes how words are structured and created within the framework of generative grammar.
-
D.
A Course in Minimalist Syntax
A Course in Minimalist Syntax is a linguistics textbook that introduces and develops the principles of Chomskyan Minimalist syntax, co-authored by Howard Lasnik.
-
E.
Principles and Parameters Theory
Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Distributed Morphology Target entity description: Distributed Morphology is a theoretical framework in generative linguistics that posits that morphological structure is built in the syntax, integrating word formation with syntactic and phonological processes.
-
A.
“Lexical Phonology and Morphology”
“Lexical Phonology and Morphology” is a foundational linguistic work by Paul Kiparsky that develops a theory integrating phonological rules with morphological structure in a stratified lexicon.
-
B.
Lexical-Functional Grammar
Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
-
C.
Word Formation in Generative Grammar
Word Formation in Generative Grammar is a foundational linguistics monograph that systematically analyzes how words are structured and created within the framework of generative grammar.
-
D.
A Course in Minimalist Syntax
A Course in Minimalist Syntax is a linguistics textbook that introduces and develops the principles of Chomskyan Minimalist syntax, co-authored by Howard Lasnik.
-
E.
Principles and Parameters Theory
Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
- F. None of above. chosen
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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3cc8648190b1a419ef734a69e6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.