Triple
T20862313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Brodsky |
E513650
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | A Part of Speech |
—
|
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: A Part of Speech | Statement: [Joseph Brodsky, notableWork, A Part of Speech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Part of Speech Context triple: [Joseph Brodsky, notableWork, A Part of Speech]
-
A.
A Part of Speech
chosen
"A Part of Speech" is a poetry collection by Russian-American Nobel laureate Joseph Brodsky that showcases his meditative, philosophically rich verse written during his early years in exile.
-
B.
Of Words
"Of Words" is a chapter in Book III that examines the nature, use, and significance of language and terminology.
-
C.
Ode to the Dictionary
"Ode to the Dictionary" is a poem by Pablo Neruda that celebrates the richness, power, and democratic spirit of language as embodied in the dictionary.
-
D.
Parola
Parola is a small town in Maharashtra, India, known for its historical fort and location within the Jalgaon district.
-
E.
The Words
The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.