Triple
T18159461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George N. Clements |
E434716
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “The geometry of phonological features” |
—
|
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: “The geometry of phonological features” | Statement: [George N. Clements, notableWork, “The geometry of phonological features”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “The geometry of phonological features” Context triple: [George N. Clements, notableWork, “The geometry of phonological features”]
-
A.
Aspects of Phonological Theory
Aspects of Phonological Theory is a seminal work in generative linguistics that helped shape modern phonological theory within the Chomskyan framework.
-
B.
“How Abstract is Phonology?”
“How Abstract is Phonology?” is a seminal linguistic paper by Paul Kiparsky that critically examines the level of abstractness appropriate in phonological representations within generative phonology.
-
C.
“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.
-
D.
Phonology in Generative Grammar
Phonology in Generative Grammar is a foundational textbook that systematically presents the principles and methods of generative phonology within the framework of modern linguistic theory.
-
E.
The Sound Shape of Language
The Sound Shape of Language is a seminal linguistic study by Roman Jakobson (with Linda R. Waugh) that explores how the sound structure of language relates to meaning, form, and poetic function.
- 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: “The geometry of phonological features” Target entity description: “The geometry of phonological features” is a seminal linguistic work by George N. Clements that proposes a hierarchical, feature-geometric model for representing phonological features in segmental structure.
-
A.
Aspects of Phonological Theory
Aspects of Phonological Theory is a seminal work in generative linguistics that helped shape modern phonological theory within the Chomskyan framework.
-
B.
“How Abstract is Phonology?”
“How Abstract is Phonology?” is a seminal linguistic paper by Paul Kiparsky that critically examines the level of abstractness appropriate in phonological representations within generative phonology.
-
C.
“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.
-
D.
Phonology in Generative Grammar
Phonology in Generative Grammar is a foundational textbook that systematically presents the principles and methods of generative phonology within the framework of modern linguistic theory.
-
E.
The Sound Shape of Language
The Sound Shape of Language is a seminal linguistic study by Roman Jakobson (with Linda R. Waugh) that explores how the sound structure of language relates to meaning, form, and poetic function.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec0e0388190af11ac167411da96 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.